Jobs AI

We are looking for a AI Developer (Full stack / AI Automation) to join our team

What You Will Do:

• Develop and implement AI-driven solutions and AI agents to automate business processes.
• Build backend services using Node.js to integrate AI models into products.
• Work with databases (SQL / NoSQL) for data storage and processing.
• Deploy and manage services using Docker.
• Develop systems using different LLM providers
• Build and optimize AI agent architectures and automation pipelines.
• Create agency multi-agent systems on different harnesses
• Work in Linux environments (Ubuntu) for development and deployment.
• Analyze user needs and design AI solutions to solve user problems.

What We Offer

• 21 days of paid leave per year
• 7 days of sick leave annually
• Health insurance
• English-speaking clubs
• Corporate events and team-building activities
• Long-term cooperation
• Annual performance review
• All necessary technical equipment provided
• Hybrid work format: 4 days in the office, 1 day fully remote

Hiring Process

1. Initial interview
2. Test task
3. Interview with a manager
4. Final interview with CTO.

Required Experience to Succeed in This Role:

• Strong experience with Node.js development.
• Experience working with databases (SQL or NoSQL).
• Ability to write clean, maintainable, and scalable code refactoring.guru
• Understanding of AI concepts, LLMs, or AI agents.
• Experience building and integrating REST APIs.
• Experience with Docker.
• Comfortable working in Linux (Ubuntu) environments.
• Ability to write clean, maintainable, and scalable code.
• English (spoken and written).
• Location - Kyiv

About the role

Hi, we’re the Findies team, looking for our first dedicated Product QA Engineer. Right now, our dev team uses AI to move incredibly fast, but quality still lives in everyone’s head and gets caught only in the final checks before a release. Your job is to change that. You will own quality across our entire product infrastructure: two mobile apps (iOS & Android) and our web platform.

This is not a typical ’run the checklist’ role. We are looking for a product-minded QA who will build our testing strategy from scratch, align quality with engineering workflows, and directly influence whether we are ready to ship to our users.

Reality Check

We are a fast-moving team transforming how people shop, using non-linear AI experts. This means there are no legacy QA processes or pre-written test plans here yet. You will face constant ambiguity and will need to establish best practices entirely on your own. If you prefer rigid corporate structures and ready-made documentation, this role will likely feel overwhelming. But if you want total ownership and the chance to build a QA ecosystem from zero, you’ll love it here.

Your Mission

• Build the QA foundation from scratch: establish risk maps, design clear test cases, maintain a regression suite, and set up test environments/accounts for our web and mobile applications.
• Embed QA into the SDLC: join features at the requirements stage, define acceptance criteria alongside product and engineering, and implement structured bug triage and release checklists.
• Own critical user flows: validate core customer experiences, including non-linear AI chat interactions, personalized shopping expert recommendations, product search, and database responses.
• Leverage AI tools natively: actively use AI in your daily routine to optimize test coverage, analyze logs, streamline reporting, and keep pace with our development team’s high-speed deployment cycle.
• Drive metrics and monitoring: track and report on crash-free rates, app store performance, support tickets, and API behavior to help prioritize what the engineering team fixes next.

What Makes You the Perfect Fit

• 3+ years of experience in QA roles testing both mobile products (iOS/Android) and web applications.
• Proven track record of building QA infrastructure from scratch, rather than just maintaining an existing framework.
• Strong understanding of client-server architecture and hands-on experience with API testing tools (Postman/Swagger, or Fiddler).
• Solid technical toolkit: comfort analyzing database behaviors (SQL), navigating backend structures, and reviewing logs/crash reports.
• An exceptional eye for detail and product taste: you care deeply about smooth animations, intuitive UI layout (Figma proficiency is a big plus), and the overall consumer feel of a product.
• Extreme autonomy: high ownership and the ability to execute without requiring a manager to hand you a predefined test plan.
• Language: Ukrainian, Upper-Intermediate (B2+) English or higher.

What’s in It for You

• Build your own legacy: you won’t be maintaining someone else’s old code or outdated processes. You will design, implement, and own the entire QA culture and infrastructure from scratch.
• Work at the cutting edge of AI: our development team relies heavily on AI to ship features fast. You will have total freedom to integrate AI tools into your testing workflows, experiment with automated coverage, and push the boundaries of modern QA.
• Direct business impact: your voice matters. You will have a seat at the table with product and engineering leaders, and the direct authority to block a release if it doesn’t meet our product standards.
• Zero bureaucracy: we value speed, common sense, and ownership. There are no useless syncs, rigid hierarchies, or endless approval chains. If something is broken, you fix it.
• Growth and ownership: as the first QA engineer, you will naturally be in the perfect position to lead and scale the quality assurance team as the product grows.

Perks & Benefits

• Remote-First & Coworking Coverage: work remotely, with your coworking space membership covered.
• Time Off to Recharge: 20 working days of fully paid vacation per year, plus paid sick leave.
• Learning & Growth: compensation for professional courses, conferences, specialized workshops, and intensive English training.
• Healthcare: comprehensive medical insurance and access to a corporate doctor.

RedCore is an international business group that creates technological solutions for digital markets. Our products and services cover fintech, marketing, e-commerce, customer service, communications and regulatory technologies. 

We are looking for an AI Product Manager (Team Lead)  to join our team.

Requirements:
- B2B SaaS product experience;
- 5+ years of product management experience in B2B SaaS products, preferably with complex workflows, integrations, analytics, and enterprise/client-facing functionality;
- 0-to-1 product launch experience;
- Proven experience launching products from scratch: from discovery, market validation, MVP definition, and first pilot clients to product-market fit and scaling;

Team leadership:
- Experience leading a product team or cross-functional team of at least 2+ people, including designers, analysts, developers, or junior product managers;

- iGaming experience:
- Strong understanding of the iGaming industry, including player lifecycle, retention, CRM, bonuses/offers, segmentation, compliance, and operational workflows;

- Voice / voice generation experience:
- Hands-on experience with voice-based products, voice generation, conversational AI, call automation, or voice communication products;

Growth experience:
– Experience with growth-focused product work: activation, retention, conversion, monetization, funnel optimization, experimentation, and data-driven product improvements;

CRM / retention experience:
- Experience with CRM, marketing automation, retention platforms, sales automation, or customer engagement tools;

- Analytics and experimentation:
Ability to define product metrics, run A/B tests, analyze funnels, and make decisions based on data.

Will be plus:
- AI product experience;
- Experience working with AI products, LLMs, AI agents, personalization, predictive models, or automation tools is a strong advantage, but not mandatory.

Responsibilities:

 - Lead the product team
- Manage and support a team of 2+ Product Owners, helping them with prioritization, product thinking, execution quality, and stakeholder communication.
- Own one product end-to-end
- Take full ownership of one product area: define goals, align them with business objectives, and achieve them together with the team.
- Define product strategy
- Create and maintain the product strategy for future development, including market positioning, roadmap direction, growth opportunities, and long-term product vision.
- Launch the product
- Lead the product from idea and discovery through MVP, pilot clients, launch, and further scaling.
- Drive execution with the team
- Participate in Scrum events, planning, refinement, sprint reviews, retrospectives, and product delivery discussions to ensure clear priorities and predictable execution.
- Work with stakeholders
- Collaborate with business, tech, project, design, analytics, sales, marketing, and client-facing teams to align product direction and remove blockers.
- Set and track product goals
- Define product success metrics, track progress, analyze results, and adjust priorities based on data, client feedback, and business impact.
 

Our benefits to you:
🔸An exciting and challenging job in a fast-growing holding, the opportunity to be part of a multicultural team of top professionals in Development, Architecture, Management, Operations, Marketing, Legal, Finance and more
Great working atmosphere with passionate experts and leaders, sharing a friendly culture and a success-driven mindset is guaranteed
🔸Modern corporate equipment based on macOS or Windows and additional equipment are provided
🔸Paid vacations, sick leave, personal events days, days off
🔸Referral program — enjoy cooperation with your colleagues and get the bonus
🔸Educational programs: regular internal training sessions, compensation for external education, attendance of specialized global conferences
Rewards program for mentoring and coaching colleagues
🔸In-house Travel Service
🔸Multiple internal activities: online platform for employees with quests, gamification, presents and news, PIN-UP clubs for movie / book / pets lovers and more
🔸Other benefits could be added based on your location
 

Software Engineer – AI, Data & Full Stack

Employment Type: Full-Time, Remote
Working Hours: U.S. Time Zone
Salary: $2,000–$2,500 USD per month

About the Role

We are looking for a Software Engineer – AI, Data & Full Stack to join our engineering team and build production-ready AI applications, backend services, data pipelines, and modern web applications.

The ideal candidate has strong experience with Python, FastAPI, AI/LLMs, RAG, MCP, Vue.js, and Angular, along with practical knowledge of cloud infrastructure and CI/CD.

The position is 100% remote, but candidates must be available to work during U.S. business hours.

Key Responsibilities

• Develop backend applications and APIs using Python and FastAPI.
• Build responsive frontend applications using Vue.js and Angular.
• Integrate frontend applications with REST APIs and AI-powered backend services.
• Build AI applications using LLMs, Generative AI, RAG, and AI agents.
• Develop and integrate Model Context Protocol (MCP) servers and tools.
• Design and optimize prompts using modern prompt engineering techniques.
• Implement embeddings, semantic search, and vector database solutions.
• Build data processing, ETL, and machine-learning pipelines.
• Integrate external APIs and third-party platforms.
• Design scalable REST APIs and microservices.
• Containerize applications using Docker.
• Build and maintain CI/CD pipelines using CircleCI.
• Deploy and maintain applications on AWS.
• Write unit, integration, and API tests.
• Monitor and troubleshoot applications in production.
• Participate in code reviews and architecture discussions.
• Collaborate with engineering, data science, AI, and product teams.

Required Technical Skills

Backend

• Python
• FastAPI
• REST APIs
• Pydantic
• Async Python
• SQL
• PostgreSQL

• Redis

   

Frontend

• Vue.js
• Angular
• JavaScript
• TypeScript
• HTML5
• CSS3
• REST API integration
• Responsive web development
• Modern frontend architecture and component-based development

Experience with Pinia/Vuex, RxJS, Angular Material, Tailwind CSS, or Bootstrap is a plus.

AI / LLM Engineering

• Large Language Models (LLMs)
• Generative AI
• Model Context Protocol (MCP)
• Retrieval-Augmented Generation (RAG)
• Prompt Engineering
• AI Agents / Agentic AI
• Tool and function calling
• Embeddings
• Semantic search
• Vector databases
• LLM evaluation and testing

Experience with LangChain, LangGraph, LlamaIndex, OpenAI, Anthropic, or AWS Bedrock is highly desirable.

Data Science & Data Engineering

• Pandas
• NumPy
• Scikit-learn
• Data preprocessing
• ETL/data pipelines
• Machine learning fundamentals
• Model evaluation

• Data analysis

   

DevOps & Cloud

• AWS
• Docker
• CI/CD
• CircleCI
• Git / GitHub
• Linux
• Cloud deployment and monitoring

Experience with Kubernetes, Terraform, GitHub Actions, AWS ECS/ECR, Lambda, S3, RDS, CloudWatch, IAM, and Bedrock is a plus.

Additional Preferred Skills

• Multi-agent AI systems
• MCP server architecture
• Langfuse or similar AI observability platforms
• RAG/LLM evaluation frameworks
• Microservices architecture
• Multi-tenant SaaS architecture
• OAuth 2.0 / JWT
• WebSockets
• Celery
• Kafka, RabbitMQ, or AWS SQS
• Pytest
• MLOps
• Application monitoring and observability
• Agile/Scrum development

Qualifications

• 5+ years of professional software engineering, full-stack engineering, AI/ML engineering, or related experience.
• Strong hands-on experience with Python.
• Professional experience with Vue.js and/or Angular.
• Experience developing REST APIs with FastAPI or similar Python frameworks.
• Practical experience building applications using LLMs and Generative AI.
• Understanding of RAG, MCP, embeddings, vector search, and prompt engineering.
• Experience with Docker and CI/CD.
• Familiarity with AWS cloud infrastructure.
• Strong debugging and problem-solving skills.
• Ability to work independently in a remote environment.
• Good written and verbal English communication skills.
• Ability to work and collaborate during U.S. business hours.

Position Details

Salary: $2,000–$2,500 USD/month
Employment: Full-Time
Location: 100% Remote
Working Hours: U.S. Time Zone

We are looking for an engineer who can work across the full application stack—from Vue.js/Angular frontends and Python/FastAPI backend services to RAG, MCP, AI agents, data pipelines, AWS infrastructure, and production deployment.

About Our Client

Our client is a leading enterprise data platform company building an open, high-performance data lakehouse for AI and analytical workloads. The platform combines an intelligent SQL query engine, an AI-ready semantic layer, and an open catalog built on Apache Iceberg — enabling Fortune 500 companies across finance, energy, manufacturing, and logistics to unify, query, and govern data at massive scale across cloud and on-premise sources.

About the Role

We are looking for a Senior Software Engineer to build and operate production AI agent and search services on top of a large-scale data platform. This is hands-on work at the intersection of distributed backend engineering and applied AI: multi-agent workflows, tool-execution infrastructure, retrieval and relevance, and integrations with multiple LLM providers — all running as real, customer-facing production services with the reliability expectations that implies.

Responsibilities

• Design and implement scalable multi-agent workflows (including conversation state), tool-execution infrastructure, and data-aware tools working with catalogs, schemas, lineage, SQL, jobs, semantic metadata, data preparation, and visualizations
• Build search and retrieval capabilities with OpenSearch or equivalent — indexing, relevance tuning, hybrid keyword + vector search
• Integrate multiple LLM/model providers with secure configuration and graceful degradation
• Develop APIs and event contracts across REST, streaming/SSE, gRPC, protobuf, and SDKs, including UI integrations
• Operate, monitor, and improve production services — service health, logs, metrics, traces, search-cluster health, latency, and error rates; participate in the team's production-support model
• Investigate incidents, drive root-cause analysis, and ship durable fixes
• Design for permissions, tool approvals, multi-tenancy, and customer-data governance
• Maintain dependencies, apply security fixes, and reduce tech debt; produce designs, tests, runbooks, and documentation; lead technical discussions and review code

Required Qualifications

• B.S. or M.S. in Computer Science, Computer Engineering, or a related field — or equivalent practical experience
• 7+ years of relevant experience, or equivalent demonstrated senior-level impact
• Strong Java software engineering skills
• Strong grasp of concurrency, data structures, API design, testing, maintainability, and backward compatibility
• Solid background in distributed systems, microservices, cloud services, or data-intensive backends
• Hands-on experience with search technologies — OpenSearch, Elasticsearch, or Lucene — including vector search, embeddings, or relevance systems
• Experience building LLM applications, agent/tool workflows, RAG systems, or model-provider integrations
• Strong production instincts: diagnosing failures via logs, metrics, and traces; designing for fault tolerance, retries, cancellation, and recovery
• SQL and familiarity with data platform concepts: catalogs, metadata, schemas, governance, lineage
• Comfort leading ambiguous, cross-service work with clear stakeholder communication and strong written documentation
• Comfortable with AI-assisted development workflows — using modern AI tools productively while critically validating their output
• English Upper-Intermediate or higher (B2+) — daily written and verbal communication with a US-based engineering team
• Availability to work EU business hours shifted 2–3 hours later for daily overlap with US West Coast mornings

Desired Skills

• LangChain4j or similar agent frameworks
• Python for AI services, evaluation harnesses, or sandboxed execution
• React and TypeScript
• gRPC, protobuf, Quarkus, Kubernetes, MongoDB, KV stores, event-driven architectures
• Apache Arrow, Apache Iceberg, OpenLineage, semantic layers, or data-governance systems
• AI quality evaluation: LLM-as-judge, model benchmarking, production AI metrics
• OpenSearch operations: index lifecycle management, relevance tuning, incident response
• Open-source contributions

Details

• Engagement: Long-term contract
• Location: Europe (EU / EEA / UK), remote
• Working hours: EU business hours, shifted 2–3 hours later for daily overlap with the US West Coast team

Senior Engineer (React/Node, GCP/Cloudflare), AI-native, long-term. Read the first lines before you apply.
 

IF YOU CAN'T SOLVE BASIC systemdesign.io PROBLEMS, DO NOT APPLY. I WILL THROW A SYSTEM DESIGN EXERCISE AT YOU DURING THE INTERVIEW, AND WE WILL BOTH LOSE TIME IF YOU CAN'T SOLVE IT.

This is not a formality. The URL shortener is the floor. If you can only solve the "easy" problems, this role is not for you. My last round of interviews was full of people who could not reason through a basic system, so I am being blunt on purpose.
 

WHO I AM
I am a senior developer and CTO running a small high-end dev agency. I only take serious, high-stakes work. No WordPress, no throwaway projects. Full remote, building for clients all over the world. This role is not customer-facing: you work directly with me, I deal with the clients. I want someone long-term who becomes part of the company and builds something real with me, done properly, never rushed or half-baked.
 

THE ROLE, DAY TO DAY
- Fully AI-driven. Your day is orchestrating AI agents (Claude, Codex, and similar), reading and reviewing their code, and holding the line on quality, including blocking a merge when the output is not good enough. You are not hand-writing everything.
- Building genuinely cool things and going deep on automation.
- Stack is mostly React and Node, plus GCP and Cloudflare.
 

WHAT I ACTUALLY NEED (this is the job)
- System design. You can take requirements and design a database schema, then defend your tradeoffs. You reason about concurrency: race conditions, locking, idempotency, what happens when two requests land at the same time. You can architect a system end to end: caching, cache invalidation, failure modes, blast radius, and what breaks when traffic goes 10x.
- Real infra and cloud: GCP, Cloudflare, CI/CD, deployments.
- You can sketch an architecture live in Excalidraw. It takes two minutes to learn. If you do not know it, learn it before we talk.
- You drive AI agents every day and review their output with a critical eye.
- Fluent English, reliable, autonomous.

SETUP
- Full remote, full time. Work whenever you want, as long as the work gets done.
- $2,500/month, plus I pay for your Claude Code Max plan.
- Your own machine for now. We can look at hardware later.
- Long-term, with room to grow and become part of the company.
 

HOW TO APPLY
No cover letter, I do not read them. Send a link to a short video, 3 to 5 minutes:
1. Camera on so I can see you, screen-share your setup, and show me how you drive and review your AI agents day to day.
2. Then pick one system-design problem (a URL shortener, or a read-heavy news site serving millions of reads a day) and walk me through your design while sketching it in Excalidraw: the database schema, how you handle concurrency, what you cache and how you invalidate it, and what breaks at scale.

Keep it real, not scripted. If you send a CV or a generic AI-written message with no system-design walkthrough, I will not reply.

IF YOU CAN'T SOLVE BASIC systemdesign.io PROBLEMS, DO NOT APPLY. I WILL THROW A SYSTEM DESIGN EXERCISE AT YOU DURING THE INTERVIEW, AND WE WILL BOTH LOSE TIME IF YOU CAN'T SOLVE IT.

Independent contractor, full time hours.
Remote. You must be able to work US Eastern Time hours.
Reports directly to the CEO.

WHY THIS ROLE EXISTS
Our Operations Manager is moving into a COO seat. Before that can happen, someone has to take the department off their hands.
That is the job. Not filling a vacancy. You are inheriting a functioning department from the person who built it, while they are still here to hand it over properly.
You will be trained directly by them, then given real ownership of what they were carrying.

BEFORE YOU KEEP READING
We get a lot of applications for roles like this and most are rejected in under a minute. Not because the people are bad, but because they did not read the posting or they do not have the experience it asks for.
So, plainly: if you have not run operations for a real business before, this is not your role. Stop here. It will save us both the time.

If you have, keep going. We are genuinely looking for you and there are not many of you.

THE BUSINESS
A $7M+ education and mentorship company. 140+ active students, plus partnerships, offer launches, webinars and multi day challenge events.
It moves fast and the standard is high. We over deliver and we expect the same from the person running operations.

WHAT YOU WILL OWN
Daily operations across offer launches, webinars and multi day events
Launch and project management: timelines, deliverables and cross team coordination, so every launch ships on time and nothing slips

Building, documenting, maintaining and ENFORCING SOPs, so the business runs on systems rather than on any one person
Meeting coordination and team accountability: keeping people on their tasks, deliverables and daily reporting
Taking work off the current Operations Manager so they can step into their COO role. This is your primary mandate and how you will be judged.

Making sure the executive level work the CEO and leadership set lands on time and to standard
A direct line to the CEO. You surface problems fast. No filters, no surprises.

WHAT WE NEED FROM YOU
You have actually held an operations manager or ops lead role, running operations for a real business. An executive assistant trying the role for the first time is not a fit.
A track record you can walk us through: businesses you have operated, launches you have run, teams you have managed
Clear, professional English, spoken and written. You will be understood easily on calls with the team, clients and stakeholders.

Genuinely comfortable on the phone and on camera. You will be on calls every day.
Systems minded. You build and enforce process, not just follow it.
A self starter who owns outcomes. You are not looking to be handed tasks all day.
Obsessively detail oriented. You triple check your work.
Your own reliable computer, a stable connection good enough for daily video calls, and a quiet space to take them from

MANDATORY SKILLS
Operations management. You have held the role before, at a real business.
SOP development, documentation and enforcement
Project management and launch management
Team management and accountability
English, spoken and written, at a professional level
Confident on video calls and phone calls, daily
Time management and prioritization
Attention to detail

STRONGLY PREFERRED
Experience in coaching, education or info product businesses
Webinar and multi day challenge event operations
Managing remote or distributed teams
Hiring and onboarding
Project management tools such as ClickUp, Asana, Notion or Monday
CRM and automation platforms
You do not need to have used our exact tools. You do need to pick up new systems fast.

WHO THIS IS NOT FOR
Executive assistants presenting themselves as operations managers
People who need to be told what to do all day
Anyone without real, prior operations management experience

Anyone juggling three or four other clients where things fall through the cracks. This is not a side gig.
We build long term. Our current Operations Manager has worked with the owner 3.5+ years. Team members have been here 2+ years. We are looking for someone who wants to grow as the company scales, not someone passing through.

SCHEDULE
These are our operating windows. Final hours are agreed with you before the engagement begins.

Monday to Friday: 1:00 PM to 10:00 PM ET. A 9 hour window with a 1 hour break, roughly 8 hours worked.
Saturday: until 12:00 PM ET, half day
Sunday: a short 2 hour window before 12:00 PM ET, to prep the week ahead

Approximately 46 hours per week. We are telling you this up front rather than after you are invested. It is a demanding schedule and it includes weekend hours. If that does not work for your life, this is the moment to say so, and there is no hard feeling in it. As an independent contractor you control how you deliver the work. These windows reflect when the business runs and when the team needs you reachable.

COMPENSATION
Base $1,400 to $1,800 USD per month depending on experience
Performance bonuses after a 60 to 90 day ramp. Criteria and targets are agreed with you in writing before the ramp ends, based on the measures below. Paid monthly. You are responsible for your own taxes and any registrations required where you are based.

HOW YOU WILL BE MEASURED
Work successfully taken off the current Operations Manager. This is the primary measure.
Full ownership of your department
SOP compliance and on time launch delivery
Team accountability: meetings run, people on their deliverables
Executive level work delivered on schedule Specific targets are agreed in writing during your first 30 days. You will always know what you are being measured against.

YOUR FIRST FEW MONTHS
Weeks 1 and 2: shadow the current Operations Manager. Step in wherever you can take responsibility. Learn the business and the process.

Ramp: take ownership of a department. Report directly to the CEO. Become the operator the business runs with.
Then: demonstrated ownership opens the path to Director of Operations.

Advancement is based on performance and business need. It is the path we are hiring for and we mean it, but it is not a guaranteed timeline and we are not going to pretend otherwise to get you in the door.
The first 90 days are a mutual trial. Either side may end the engagement in that period with written notice.

CONFIDENTIALITY
This role touches client information, financials and internal systems. A confidentiality agreement is signed before you start. Client names, numbers and internal conversations do not leave the business.

WHAT WE DELETE WITHOUT READING:
Copy pasted applications that could have gone to any job

Anything written entirely by AI with no specifics in it
Anyone who has not read far enough to know the schedule
Shortlisted candidates go through a scenario based interview. We will hand you real operational problems and ask how you would fix them. It is not a checklist of tools.

Come ready to show how you think and what you have actually done.
We verify what you tell us. References and confirmation of the experience described may be requested before an offer. If it is embellished, it surfaces at the reference stage and we will not move forward.

Every application is considered on the strength of the experience presented.

HOW TO APPLY
Apply here: jobs.lighthousevoyages.com

Ferla Bikes is a growing and innovative company specializing in family, cargo, and commercial bicycle solutions. As we continue to expand our digital presence, we are looking for a talented Remote E-Commerce Manager & AI Specialist who can help take our online business to the next level.

This is not simply a website-management position. We are looking for someone who understands e-commerce, website development, digital marketing, automation, analytics, and AI and can bring those areas together to drive growth.

If you love technology, enjoy solving problems, and are always discovering a faster, smarter, or more automated way to get things done, we want to hear from you.

Position Overview

The E-Commerce Manager & AI Specialist will manage and improve Ferla Bikes' online sales ecosystem while helping implement AI and automation throughout the company.

You will work across our websites, e-commerce platforms, marketing systems, analytics, CRM, automations, and digital infrastructure.

Because this is a remote position, we are looking for someone who is highly organized, self-motivated, responsive, and comfortable taking ownership of projects without constant supervision.

Key Responsibilities

E-Commerce & Website Management

• Manage and optimize Ferla Bikes' e-commerce websites and online storefronts.
• Manage products, collections, pricing, promotions, landing pages, and website content.
• Build and edit pages using Shopify, WordPress, and Elementor.
• Make front-end website adjustments using HTML and CSS.
• Identify and troubleshoot website issues.
• Improve website speed, usability, mobile experience, and conversion rates.
• Monitor abandoned carts, customer behavior, conversion rates, and online sales.
• Implement strategies to increase traffic, average order value, conversion rates, and overall online revenue.
• Assist with SEO and organic search optimization.
• Coordinate online product launches and promotional campaigns.

AI & Automation

• Research and implement AI tools that can improve sales, marketing, customer service, and internal operations.
• Build and maintain automations using Make.com and other automation platforms.
• Create AI-assisted workflows to eliminate repetitive manual tasks.
• Develop effective AI prompts, processes, and internal systems.
• Integrate AI with CRM, e-commerce, marketing, and operational platforms.
• Identify areas of the business that can be streamlined or automated.
• Help develop AI-powered customer service and sales solutions.
• Continuously research new AI technologies and recommend tools that could benefit Ferla Bikes.

CRM, Project Management & Marketing

• Manage and improve workflows within GoHighLevel (GHL).
• Use Monday.com to organize projects, tasks, timelines, and team collaboration.
• Assist with email marketing, customer follow-ups, lead nurturing, and abandoned-cart campaigns.
• Support Google and Meta advertising initiatives.
• Develop and improve customer acquisition and retention strategies.
• Work with management to implement new digital campaigns and promotions.

Analytics & Website Performance

• Manage and analyze website performance through Google Analytics.
• Use Microsoft Clarity to evaluate visitor behavior, heatmaps, recordings, and website usability.
• Track e-commerce KPIs and identify opportunities for improvement.
• Create reports that clearly communicate performance, problems, and opportunities.
• Monitor website speed, security, DNS, caching, and performance through platforms such as Cloudflare and Cloudways.
• Use data—not assumptions—to recommend changes and improvements.

Required Skills & Qualifications

Candidates should have hands-on experience with several of the following platforms and technologies, with strong overall technical knowledge:

• Shopify
• WordPress
• Elementor
• HTML/CSS
• GoHighLevel (GHL)
• Monday.com
• Make.com
• Microsoft Clarity
• Cloudflare
• Cloudways
• Google Analytics
• AI tools and automation platforms
• E-commerce management
• SEO and conversion optimization
• Digital marketing and online sales

Preferred Creative Skills

Experience with the following is a plus:

• Adobe Illustrator
• Adobe Photoshop
• Digital graphics and basic image editing
• Website banners, promotional graphics, and e-commerce creative assets

What We're Looking For

We're looking for someone who is more than an e-commerce administrator.

You should be the type of person who sees a repetitive process and thinks, "I can automate that."

When website traffic isn't converting, you want to know why.

When a new AI tool launches, you're interested in figuring out whether it can actually improve the business.

You should be comfortable moving between Shopify, WordPress, AI, analytics, automation, CRM, website development, and digital marketing depending on what the business needs.

Most importantly, we want someone who takes initiative, communicates well, and gets things done.

Remote Work Expectations

Since this is a fully remote role, candidates must:

• Be highly dependable and responsive during agreed-upon working hours.
• Have a reliable computer and high-speed internet connection.
• Communicate effectively with management and team members.
• Be comfortable participating in video meetings and screen-sharing sessions.
• Manage projects and deadlines independently.
• Maintain clear updates through Monday.com and other company communication systems.
• Be able to troubleshoot problems and research solutions independently.

What Ferla Offers

• 100% Remote Position
• Opportunity to work with a growing and innovative brand
• Hands-on involvement in e-commerce, AI, automation, and digital growth
• Opportunity to introduce and implement new technologies
• Ability to make a measurable impact on company growth
• Performance-based growth opportunities
• Collaborative and fast-moving work environment
• Opportunity to grow with Ferla as our digital operations expand

How to Apply

Please submit your resume along with a brief introduction describing your experience with e-commerce, website management, AI, and automation.

Please also include the platforms you have hands-on experience with, particularly:

Shopify • WordPress • Elementor • HTML/CSS • GHL • Monday.com • Make.com • Microsoft Clarity • Cloudflare • Cloudways • Google Analytics

If available, we would also love to see examples of websites, Shopify stores, automations, AI workflows, landing pages, or digital campaigns you have personally built or managed.

Ferla Bikes is an Equal Opportunity Employer.

We are looking for a Content Team Lead who will become a key driver of our content strategy with a strong focus on modern AI tools! If you know how to craft effective prompts, generate and masterfully refine AI content, and understand the specifics of the gambling niche — this role is tailor-made for you.
 

Key Responsibilities:

• Hands-on work with AI content: generating, editing, fact-checking, and humanizing texts created with AI tools.
• Creating, adapting, and publishing textual content for websites, PBNs, and affiliate resources within the gambling niche.
• Generating graphics and video assets using neural networks for articles and landing pages.
• Crafting clear and effective prompts to solve various content tasks.
• Maintaining high text quality, uniqueness, and readability.
• Collaborating with SEO specialists to optimize content for search queries and key GEOs.
   

Requirements:

• 1+ years of experience as a Content Team Lead in the iGaming vertical.
• Mandatory: iGaming experience in your most recent position.
• Fluent in AI tools for text, image, and video generation, with a deep understanding of how to get high-quality outputs from neural networks.
• English proficiency level: Upper-Intermediate (B2) or higher.
• Solid understanding of basic SEO copywriting principles and content structures for affiliate marketing.
   

Nice-to-Have:

• Degree in Linguistics, Philology, or a related field.
• Knowledge of additional foreign languages.
• Hands-on experience with CMS platforms (WordPress, etc.).

🔹Who we are!

At Levi9, we are passionate about what we do. We love our work and together in a team, we are smarter and stronger. We are looking for skilled team players who make change happen. Are you one of these players?

🔹About the project

You will join a dynamic, cross-functional AI team building AI prototypes, from classic ML to advanced LLM applications such as Text-to-SQL and complex RAG systems. Our goal is to engage our customers with advanced AI solutions.

🔹Responsibilities

• Design and deploy predictive ML models (e.g., decision trees, random forests, gradient boosting) for analytics and feature engineering.
• Develop recommendation systems using collaborative and content-based filtering techniques.
• Build and enhance RAG systems, including embedding pipelines, managing vector databases, and integrating LLMs.
• Implement text-to-SQL capabilities, allowing users to query relational databases naturally using LangChain or similar technologies.
• Work alongside data engineers to ensure robust data pipelines and high-quality datasets for training and inference.
• Collaborate with Product Owners and UX Designers to align AI features with user needs and business goals.
• Continuously research, test, and apply cutting-edge algorithms and technologies to boost model performance and scalability.
• Monitor and improve production models, ensuring reliability, performance, and compliance with ethical standards.
   

🔹Requirements

• Experience: 4+ years in AI/ML, specifically building and deploying production-level ML models.
• Classic ML: Solid skills with decision trees, random forests, and gradient boosting methods (scikit-learn, XGBoost).
• Recommender Systems: Proven experience in collaborative and content-based recommendation algorithms.
• RAG & LLM Development: Hands-on expertise with retrieval-augmented generation systems, vector databases (Pinecone, Weaviate), and frameworks like LangChain or LlamaIndex.
• Text-to-SQL: Experience developing natural-language-to-SQL solutions using frameworks like LangChain.
• Programming & Data: Advanced Python proficiency, strong SQL skills, and familiarity with Pandas and NumPy.
• Cloud & MLOps: Knowledge of deploying models on AWS, Azure, or GCP, and familiarity with CI/CD and MLOps tools (MLflow, Kubeflow).
• Communication: Comfortable in Agile teams with excellent English communication skills.

🔹Will be a plus

• Experience with Docker and Kubernetes.
• Familiarity with advanced embedding techniques and optimizing similarity searches.
• Background in deep learning frameworks such as TensorFlow or PyTorch.
• Knowledge of ethical AI practices and data privacy standards.

🔹 Our customer's stack
Core — Python 3.13, LangGraph and LangChain for agent orchestration, AWS Bedrock for inference, retrieval, and runtime (AgentCore, Knowledge Bases, Guardrails), Pydantic for schema enforcement, CloudFormation for infrastructure.
Quality — pytest across unit, integration, and e2e tiers with a coverage gate, ruff, mypy and pyright, promptfoo for prompt and output evaluation. We hold agent code to the same bar as any other production system.

🔹9 reasons to join us:

1. Today we're working with the technology of tomorrow.
2. We don't wait for a change. We are the change.
3. We're experts in creating experts (Levi9 academy, Lead9 program for leaders).
4. No micromanagement. We are free birds with a clear understanding of what high performance is!
5. Learning in Levi9 never stops (unlimited Udemy for business, meetups, English courses, Professional trainings).
6. Here you can train your body and mind.
7. We've gathered the best locations - comfortable, cozy and pet-friendly offices in Kyiv (5 minutes from Olimpiyska subway station) and Lviv (5 minutes from the Opera Theatre) with regular offline internal events
8. We have master's degree in work-life balance.
9. We are actively supporting Ukraine with constant donations and volunteering
    

🔹Simple steps to get this job

Click the APPLY NOW button and leave your contacts!

Description

GlobalLogic is working on an advisory engagement to design an AI-powered search assistant for project documentation accumulated over roughly 20 years, currently stored on an isolated, internet-disconnected file server. The dataset spans 2-3 TB including test artifacts, with core documents in the 1-10 GB range and about half the volume in the legacy .xls format. The goal is to let developers and SMEs query specification documents in natural language and get answers assembled across multiple related customization projects, instead of manually tracing code history and cross-referencing documents by hand. The target architecture connects the document store (likely SharePoint) to a generative AI search layer, with NotebookLM as the initial reference point and enterprise alternatives such as Vertex AI Agent Builder under evaluation.

Requirements

• 3+ years of commercial experience with Python, including work on data processing and ETL pipelines
• Experience parsing and transforming document formats (Excel including legacy .xls, PowerPoint, Word, PDF) using libraries such as pandas, openpyxl, xlrd, python-docx, python-pptx
• Experience with OCR technologies for extracting text from images and embedded objects (e.g. Tesseract, Google Vision API, Azure Computer Vision) 
• Understanding of RAG (Retrieval-Augmented Generation) architectures, embeddings, and vector search
• Experience integrating with cloud storage and collaboration platforms via API (SharePoint / Microsoft Graph API or similar)
• Written and spoken English proficiency equivalent of B2 or higher
• Ability to work with incomplete requirements during an advisory and PoC phase
• Self-reliant, comfortable proposing and testing technical solutions with limited direction

Nice to have:

• Familiarity with NotebookLM, LangChain, LlamaIndex, or Vertex AI Agent Builder
• Experience designing incremental indexing or delta-update mechanisms for search systems

• Experience working with enterprise clients in isolated or air-gapped network environments

   

We are looking for a Middle AI/ML Engineer to develop and enhance AI-driven solutions within the Palantir Foundry and AIP ecosystem.

In this role, you will focus on building and iterating on machine learning and LLM-based solutions, integrating them into Foundry workflows to support analytics, automation, and decision-making. You will collaborate closely with data engineers, business analysts, and domain experts to deliver practical, production-ready AI solutions.

Responsibilities:

• Develop and enhance machine learning and AI models to support predictive analytics, classification, forecasting, and AI-assisted workflows.
• Build AI and ML solutions within Palantir Foundry, using Python and existing Foundry pipelines, Ontology objects, and workflows.
• Apply LLMs and NLP techniques (e.g. prompt engineering, fine-tuning, embeddings, retrieval-augmented workflows) using Palantir AIP for enterprise use cases.
• Collaborate with data engineers to understand data sources, ensure data quality, and prepare datasets for model training and inference.
• Conduct experiments, evaluate model performance, and iterate on features and model approaches.
• Integrate AI models into Foundry workflows to surface insights and support business processes.
• Support model deployment and monitoring by following established team standards and best practices.
• Work closely with business and domain stakeholders to translate requirements into practical AI-driven solutions.
• Document model behavior, assumptions, and limitations to support transparency and compliance.
• Stay up to date with applied AI and GenAI trends and contribute ideas under guidance from senior team members.

Requirements:

• 3+ years of experience in machine learning, AI engineering, or applied data science.
• Strong Python skills; experience with ML libraries such as scikit-learn, XGBoost, TensorFlow, or PyTorch.
• Practical experience with RAG architectures, vector databases, and retrieval strategies
• Hands-on experience with LLMs, NLP, or GenAI use cases (e.g. prompt design, embeddings, text classification, summarization).
• Practical understanding of the ML lifecycle: data preparation, feature engineering, model training, evaluation, and iteration.
• Experience working with structured data (tabular, time series); exposure to text or unstructured data is a plus.
• Familiarity with enterprise data environments and collaborative development workflows.
• Ability to clearly explain model results and AI behavior to non-technical stakeholders.
• Upper-Intermediate English or higher.

Nice to have: 

• Proficiency in Foundry Ontology, Object Builders, and Code Repositories.
• Experience in big pharma or highly regulated industries.
• Knowledge of data privacy, compliance, and security best practices in AI applications.
• Familiarity with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).

N-iX is a global software development service company that helps businesses across the globe create next-generation software products. Founded in 2002, we unite 2,400+ tech-savvy professionals across 40+ countries, working on impactful projects for industry leaders and Fortune 500 companies. Our expertise spans cloud, data, AI/ML, embedded software, IoT, and more, driving digital transformation across finance, manufacturing, telecom, healthcare, and other industries. Join N-iX and become part of a team where your ideas make a real impact.

About the Role

Our customer is a leading European online car marketplace, serving more than 30 million monthly users across 18 countries.

They are launching a company-wide initiative to embed AI and agentic ways of working into Product and User Experience. We are looking for a senior, hands-on Technical Product Manager to help define, pilot and scale an AI-enabled product-development methodology across approximately 100 Product and UX professionals in Europe and Canada.

This is an individual contributor role for someone with strong product judgement, practical AI adoption experience and enough technical fluency to turn AI capabilities into repeatable, valuable ways of working. The focus is not on introducing isolated tools or use cases, but on transforming how Product, UX and Engineering teams collaborate throughout the product-development lifecycle.

This position is available on a part-time basis with flexible working hours (20+ hours per week)

What You Will Do:

• Define and champion a clear vision for an AI-enabled Product and UX organization, translating it into a pragmatic, staged transformation plan.
• Design, test and roll out AI-enabled and agentic workflows across the product lifecycle — from discovery and requirements definition to prototyping, experimentation and delivery.
• Establish practical workflows in which Product Managers use tools such as GitHub, Codex or comparable AI-assisted tools to create and improve product requirements, while UX teams use these outputs to accelerate low-fidelity prototypes.
• Partner with cross-functional pilot teams to identify high-value use cases, test and refine new ways of working, and validate their value through iterative delivery.
• Turn proven approaches into scalable playbooks, templates, governance and enablement materials that teams can adopt independently.
• Assess AI tools, workflows and adoption barriers pragmatically, with a focus on business value, quality, usability and responsible implementation.
• Align Product, UX, Engineering and senior leadership around priorities, decisions, progress, risks and next steps.
• Structure, coordinate and track multiple transformation workstreams; measure adoption and impact, using feedback and data to continuously improve the methodology.
• Provide strategic direction while remaining hands-on in the day-to-day delivery of the transformation.

Must Have:

• Significant experience as a Technical Product Manager, Product Lead, Product Operations leader or in a similar product-facing transformation role.
• Strong product background and credibility with Product leadership; ability to connect customer and business value with technical possibilities and make sound prioritization decisions.
• Demonstrable experience driving AI adoption, change management, product operating-model transformation or internal enablement across multiple teams.
• Hands-on experience applying generative AI, LLM-based tools, copilots or workflow automation in a product-development setting.
• Practical familiarity with GitHub, Codex, GitHub Copilot or comparable AI-assisted development and product tools, including the ability to identify and implement valuable use cases for Product and UX teams.
• Good understanding of agentic ways of working and how AI can reshape roles, workflows and the product-development lifecycle.
• Experience designing, piloting and scaling processes, operating models or ways of working across Product, UX/Design and Engineering teams.
• Strong program execution skills: able to structure, coordinate, track and report progress across multiple workstreams while maintaining momentum.
• Sufficient technical fluency to collaborate effectively with Engineering and understand APIs, software-delivery workflows, data and limitations of AI tools. Coding expertise is not required.
• Excellent stakeholder management, facilitation, written and spoken English communication skills.
• Comfortable operating under ambiguity and influencing senior Product and Technology stakeholders.

Nice to Have:

• Experience in a marketplace, e-commerce, classifieds, consumer-facing or high-growth environment.
• Experience scaling AI practices across distributed, multi-country organizations.
• Experience helping Product and UX teams improve discovery, requirements definition, prototyping or experimentation.

What Success Looks Like After Six Months:

• Pilot teams are using AI meaningfully in Product and UX workflows.
• A practical AI-enabled product-development methodology is documented, tested and ready to scale.
• Product requirements and early UX prototypes are produced faster and with greater consistency.
• Teams have the playbooks, tools and confidence to adopt the approach independently.
• Leadership has clear visibility into adoption, impact, risks and next steps.

We offer*:

• Flexible working format - remote, office-based or flexible
• A competitive salary and good compensation package
• Personalized career growth
• Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
• Active tech communities with regular knowledge sharing
• Education reimbursement
• Memorable anniversary presents
• Corporate events and team buildings
• Other location-specific benefits

*benefits are not applicable for freelancers

About the client

Our customer is the European online car market, serving over 30 million monthly users and present in 18 countries. As part of their project, they are building an internal AI platform and are looking for a Senior AI Engineer with genuine, hands-on experience building agentic AI systems - not just integrating existing tools.

This is a hands-on engineering role for someone who has real depth in both AI system design and AWS platform engineering, and who can move fluidly between the two to build production-grade, agentic solutions.

While this is a hands-on role, you will also influence technical direction, raise the bar for engineering practices, and enable other data scientists and engineers to succeed.

Duration is 4-6 months with the possibility of prolongation. 

Time zone: EU or Canadian time zone.

We are ready to consider candidates for part-time cooperation.

Responsibilities:

• Design, build, and maintain agentic AI systems as part of the AI platform
• Work in depth with AWS to build and operate the underlying platform infrastructure
• Design and implement knowledge graph solutions to support AI reasoning and retrieval (e.g. using AWS Neptune or Neo4j)
• Collaborate with cross-functional teams to align the AI platform with business goals and internal use cases
• Troubleshoot and resolve issues across integrated systems to ensure reliable, end-to-end agentic workflows.

Requirements:

• 5+ years of experience in Software Development
• Real, hands-on experience building agentic AI systems - genuine understanding of how they work, beyond just using existing tools or frameworks off the shelf.
• Strong, in-depth AWS experience - real platform engineering depth, not incidental or side use of AWS.
• Strong Python knowledge
• Deep experience building knowledge graphs, ideally with AWS Neptune or Neo4j - especially valuable for this role.
• Experience with LLMs, prompt engineering, and AI integration patterns.
• Strong troubleshooting skills and a collaborative, team-first mindset.
• English level - upper-intermediate (both verbal and written)

Nice to Have:

• Familiarity with MCP (Model Context Protocol).
• Proficiency in infrastructure as code (e.g. CDK in TypeScript/Node.js) to manage AWS services such as Amazon Bedrock and Agent Core.
• Docker/Kubernetes familiarity.

About the Role
We are looking for a Senior Frontend Developer to join our Engineering team based in Monaco.
You will report directly to the Team Leader of the Ticket Shop team and collaborate closely with frontend developers, backend developers, product owners, designers, QA engineers, DevOps engineers, and colleagues across Monaco, Barcelona, and Lviv.
Our platforms power international sports events, live entertainment, and premium fan experiences across the globe, handling high traffic, real-time interactions, and business-critical sales operations.
As a Senior Frontend Developer, your mission will be to design, build, and evolve scalable, high-performance, and maintainable frontend applications while contributing to technical decisions, frontend architecture, developer experience, and AI-powered engineering workflows.
You will also play an active role in our internal AI Engineering Platform initiative, where AI is deeply integrated into the software development lifecycle to accelerate delivery, improve quality, automate testing, and enhance engineering efficiency.

Responsibilities
● Lead the development of key frontend features and applications using modern frontend technologies, ensuring high standards of scalability, maintainability, performance, and user experience.
● Design and develop modular, reusable, and well-tested frontend components aligned with UX/UI guidelines and business requirements.
● Contribute to the evolution of our frontend architecture, engineering standards, and development workflows.
● Participate in cross-team technical discussions with the CORE team to align frontend needs, API contracts, performance expectations, integration strategies, and platform evolution.
● Collaborate closely with backend developers, QA engineers, Product teams, and business stakeholders to deliver fully integrated and user-centric solutions.
● Drive frontend performance optimization, accessibility, observability, responsiveness, and security improvements across our platforms.
● Promote and implement frontend best practices including clean architecture, state management, testing strategies, maintainable code structure, and scalable component design.
● Contribute to automated testing initiatives including unit, integration, and end-to-end testing strategies.
● Review code, mentor developers, share technical knowledge, and contribute to a strong engineering culture focused on quality and continuous improvement.
● Use AI-powered engineering tools and assistants for code generation, testing, documentation, code reviews, debugging, and engineering acceleration.
● Contribute to the continuous enrichment of our internal engineering knowledge base, coding standards, engineering rules, and AI context repositories used by our internal AI platform.

Required Skills
● 6+ years of experience in frontend development.
● Strong expertise with VueJS and modern component-based frontend development.
● Experience with React or other modern frontend frameworks is a strong plus.
● Strong expertise in JavaScript / TypeScript, HTML5, CSS3, and modern frontend engineering practices.
● Experience building scalable and maintainable frontend architectures.
● Strong understanding of frontend performance optimization, accessibility, security, and responsive design.
● Strong experience with automated testing practices (unit, integration, component, and end-to-end testing).
● Experience with CI/CD pipelines, Docker, and modern engineering workflows.
● Experience working with REST APIs and asynchronous frontend integrations.
● Strong communication and collaboration skills within cross-functional engineering teams.
● Ability to mentor and guide other developers through code reviews, technical discussions, and knowledge sharing.
● Experience using AI-assisted software engineering tools and workflows to improve development productivity, code quality, testing, and documentation.
● Experience using AI-assisted software engineering tools and workflows to improve development productivity, code quality, testing, and documentation.
● Familiarity with modern AI engineering concepts such as RAG, MCP, AI agents, prompt engineering, engineering knowledge bases, or AI-assisted automation workflows.
● Experience working on high-traffic platforms, e-commerce, ticketing systems, SaaS products, or large-scale digital platforms.
● Good written and spoken English.

Nice to Have
● Experience with Cypress, Playwright, Jest, or similar testing frameworks.
● Experience with observability and monitoring tools.
● Familiarity with modern AI engineering tools and workflows such as Claude Code, Cline, Cursor, GitHub Copilot, AI agents, and multi-model AI environments (Claude, GPT, Gemini, Qwen, etc.).
● Basic knowledge of backend technologies and API integrations, including PHP, Node.js, or Go.

Why Join Us?
● Work on highly visible, international, high-traffic digital platforms used during major sports and entertainment events.
● Join a modern engineering organization investing heavily in AI-powered software development and engineering acceleration.
● Work with an internal AI Engineering Platform integrated into daily engineering workflows.
● Contribute to innovative initiatives around AI-assisted development, automated testing, engineering automation, RAG-based knowledge systems, and AI-powered developer productivity.
● Collaborate with a talented and international Engineering team focused on scalability, quality, innovation, and continuous improvement.
● Play a key role in shaping the future of frontend engineering within a fast-evolving technical environment.
● Be part of an engineering culture that values ownership, technical excellence, learning, and innovation.