Jobs AI

We're looking for an AI Automation Engineer who builds workflow automations using n8n, Make/Zapier, and OpenAI. You'll work directly with clients to understand their processes, design automation flows, and ship working solutions fast.

This is a hands-on, execution-focused role. No endless meetings — you build, deploy, iterate.

What you'll do

• Design and build automation workflows in n8n and Make/Zapier
• Integrate OpenAI (GPT-4, Assistants API, function calling) into business workflows
• Connect third-party services via REST APIs (webhooks, OAuth, JSON parsing)
• Map client business processes and translate them into working automations
• Maintain and improve existing automation pipelines
• Communicate directly with clients (async-first, English)

What we're looking for

Must have:

• Hands-on experience with n8n or Make (Zapier is a plus)
• Understanding of REST APIs — you can read docs, set up webhooks, handle auth
• Experience integrating OpenAI API (prompt engineering, API calls, handling responses)
• Ability to decompose a business process into automation logic
• English sufficient for async client communication

Nice to have:

• Basic Python or JavaScript for custom nodes/scripts
• Experience with CRMs, Google Workspace, Notion, Slack, Airtable
• Understanding of LangChain or AI agent patterns

What we offer

• Remote, async-friendly work
• Real projects, real clients — not internal tooling
• Fast feedback loop: you ship, you see results
• Competitive rate (fixed or hourly — discussed individually)
• Opportunity to grow into LLM/chatbot and AI product projects

About SPG
SPG is an innovation and technology company developing enterprise-grade AI platforms, autonomous systems, robotics integrations, and operational intelligence solutions for critical infrastructure, industrial operations, and government sectors across Saudi Arabia. 

We focus on building deployable, real-world AI solutions for large-scale enterprise environments.

Role Overview

We are looking for an AI Engineer who can contribute beyond traditional computer vision tasks and help build intelligent autonomous systems and AI-powered operational platforms.

This role involves:

• developing AI capabilities
• integrating intelligence into software platforms
• supporting autonomous workflows
• improving operational decision-making systems
• working with robotics, drones, surveillance systems, and enterprise AI infrastructure

You will work closely with software, hardware, robotics, and operations teams to help shape next-generation AI-driven systems.

Responsibilities

• Design and implement AI capabilities across multiple software platforms
• Develop and optimize computer vision pipelines:
  • object detection
  • tracking
  • PPE detection
  • anomaly detection
  • event classification
• Support autonomous operational workflows and decision-making systems
• Integrate AI models into real-world enterprise and industrial environments
• Work with:
  • drones
  • PTZ systems
  • robotics platforms
  • edge AI devices
  • monitoring systems
• Build AI-assisted automation features for operational platforms
• Improve system intelligence, alerting, and autonomous response logic
• Collaborate with frontend, backend, DevOps, robotics, and hardware teams
• Optimize AI inference and deployment performance
• Participate in architecture and AI infrastructure decisions

• Contribute to future autonomous and intelligent platform development

   

Required Qualifications

• Strong Python experience
• Experience with:
  • PyTorch
  • TensorFlow
  • OpenCV
  • YOLO / detection models
• Understanding of AI system architecture and deployment
• Experience in computer vision and video analytics
• Familiarity with APIs and backend integrations
• Linux environment experience
• Strong analytical and problem-solving skills
• Ability to work in fast-paced, innovation-driven environments

What We Offer

• Work on cutting-edge autonomous and AI technologies
• Real enterprise and government-scale projects
• Exposure to robotics, drones, and advanced AI systems
• Opportunity to shape next-generation operational intelligence platforms
• Fast-growing innovation-focused environment

We’re looking for a Senior Machine Learning Engineer to design and scale production ML systems that power real-time personalization and decision-making at scale.

In this role, you’ll own the full ML lifecycle—from transforming raw behavioral data into meaningful features, to deploying low-latency prediction APIs, to building the observability needed to keep models reliable in production.

This is a great opportunity for someone with strong applied ML and MLOps expertise who enjoys solving complex engineering challenges and building scalable, high-impact systems.

Your responsibilities will include:

• Build and productionize ML models for ranking, personalization, and customer engagement.
• Develop pipelines that transform behavioral, demographic, and contextual signals into online and offline features.
• Design and deploy low-latency APIs and decision services for real-time decision-making.
• Implement experimentation frameworks, including A/B testing and exploration-exploitation strategies.
• Operationalize the ML lifecycle: automated training, CI/CD for models, artifact and feature versioning, and online/offline parity.
• Build observability into ML systems by monitoring data quality, model drift, and decision outcomes, and triggering retraining when needed.
• Establish closed feedback loops that connect decisions to business outcomes (e.g. conversions, engagement, fatigue signals such as unsubscribes).
• Collaborate closely with product and engineering teams to balance personalization, compliance, and business value in real-world systems.

What we expect from you:

• 5+ years of experience in applied ML engineering (recommendation systems, personalization, ranking, or advertising systems).
• Strong proficiency in Python or Go, SQL, and modern ML frameworks such as TensorFlow, PyTorch, or similar.
• Strong understanding of MLOps best practices, including CI/CD for ML, containerization (Docker), orchestration (Kubernetes, Airflow, Kubeflow), model registries, and monitoring frameworks.
• Familiarity with cloud ML platforms such as Vertex AI, SageMaker, or similar, and data warehouses like BigQuery, Snowflake, or Redshift.
• Experience deploying real-time ML systems, including low-latency serving, feature stores, and event-driven architectures.
• Understanding of multi-objective optimization and trade-offs in personalization systems.
• Comfort working cross-functionally in a dynamic startup environment with the overlap within USA time zone.
• Strong spoken and written English communication skills.

Nice to have:

• Experience in martech, adtech, CRM, or large-scale personalization platforms.
• Exposure to bandit algorithms, reinforcement learning, or causal inference for adaptive decision-making.
• Experience building systems serving millions of users at scale.
• Hands-on experience with Google Cloud Platform (GCP).
• Familiarity with observability tools such as Prometheus, Grafana, Evidently, WhyLabs, or Great Expectations for monitoring data and model health.

What we offer:

• Interesting projects and technical challenges that support both professional and personal growth.
• A long-term project with stability and impact.
• A flexible, results-oriented schedule with hybrid or remote work options.
• A comfortable, modern office in Kyiv with generator and battery backup.
• Competitive salary, medical insurance, and a supportive onboarding/trial period.
• Team-building events, including parties, online activities, picnics, and more.
• The opportunity to work in a Top Employer company (DOU 2025).

The next decade of legal services will be run by AI agents. We're building the front door for the law firm of the future.
 

50+ firms run their phone and web intake on us today. Lean team, profitable, no VC. We're hiring the first AI Engineer to own the systems that make our agents actually work in production.
 

What we do
 

Lexidesk is an AI receptionist for law firms. Voice + web chat. We answer the phone 24/7, qualify the lead, book the consultation, transfer the call when it matters.

Real intake, real calls, real revenue.
 

Every law firm we onboard gets a custom AI agent, built and tuned for their practice areas, their qualification criteria, their booking rules, their transfer logic. That tuning is the product.
 

What you'll do
 

You'll own the AI side of every customer. Most of the work is prompt engineering, building, debugging, and improving the prompts that drive every conversation our agents have.
 

• Build new AI agents for every law firm we onboard, listen to how they take intake today, then design the prompts, tools, and flows that replicate it better.
• Debug live agents.
• Run test suites against every prompt change before it ships
• Listen to real call transcripts daily, find patterns across firms, propose product improvements
• Own the prompt library and the patterns that make our agents reliable at scale
• Work directly with me (Ivan, founder) on every meaningful product call
   

You'll talk to law firm owners and lawyers, learn how legal intake actually works, and turn that into prompts that ship.

Most days will be prompts and transcripts. Some days you'll write small scripts, automations, or tools to make the work faster, being able to code is a real plus, but not required.
 

Who we want

• AI-native. You use Claude, ChatGPT, or Cursor for everything. You've built your own automations. You instinctively reach for AI before reaching for documentation.
• Surgical mindset. When something breaks, you find the smallest possible fix. You hate rewrites. You like elegant, minimal changes that solve the actual problem.
• Pattern matcher. You notice the same bug across 5 different prompts and spot the underlying cause. You build mental models fast.
• Detail-obsessed. You read transcripts carefully. You catch the missing comma, the contradictory instruction, the off-by-one logic error.
• High agency. You don't wait for tasks. You see what needs to be done and do it end-to-end.
• C1+ English, you'll be on calls and reading transcripts daily.
   

Background can be anywhere, engineering, paralegal, ops, support, customer success, science PhD. Real prompt engineering work matters more than job titles. If you've shipped agents that real people use, we want to talk.
 

What we offer

• Direct line to me. No middle management, no committee.
• Real customers from day one. Every prompt you write goes live with paying firms.
• The technical core of an AI-native company at the inflection point. Profitable, growing, and you'll be the person who owns how our agents behave at scale.
• Wherever, whenever you work, we care about results, not hours.

About us

Rewire Solutions builds AI and cloud-based solutions for international clients. We are looking for motivated engineers of different levels to join our remote team.

We offer

• Remote work
• B2B contract
• Flexible schedule
• International projects
• Long-term cooperation

Requirements depend on level.

Client is looking for specialists from Junior to Senior level.

Required experience

• Experience with AI tools and LLM platforms
• Claude AI / ChatGPT / Gemini / other AI systems
• Building AI chat solutions
• AI agents and multi-agent workflows
• Prompt engineering
• AI automation
• API integrations
• Experience with modern AI ecosystems

Nice to have

• LangChain / LlamaIndex
• Vector databases
• OpenAI Assistants API
• RAG systems
• AI copilots
• Workflow automation
• Cloud AI infrastructure

Send us:

• CV
• Portfolio
• Short intro about yourself on English

About Us At Huuray, we make gifting smarter — helping companies and individuals send digital gift cards and rewards across the world. We're growing fast and looking for an experienced Frontend Developer to join our team and help us craft beautiful, scalable, and high-performance user interfaces across our platforms. We have talented team members based in Kyiv, and we're excited to add another skilled developer to collaborate closely with them.
 

What You'll Do

• Develop and maintain responsive, high-quality web applications for our gift and reward platforms.
• Work closely with our design team and backend developers to build seamless, user-focused solutions.
• Collaborate with product managers to create exceptional user experiences.
• Implement reusable, testable components with modern frontend frameworks and libraries.
• Perform cross-browser and cross-device testing to ensure consistency and reliability.
• Help perform QA testing of final product releases to maintain quality and stability.
• Optimize performance and ensure accessibility compliance.
• Participate in code reviews and help define best practices and UI standards.
• Use Claude Design (claude.ai/design) to rapidly prototype UI concepts, wireframes, and feature flows — turning ideas into shareable visuals before they reach development.
• Take ownership of integrating Claude Design into Huuray's frontend workflow, including connecting it with our design system and handoff pipeline to Claude Code.
   

Your Tech Toolbox

• Next.js/Vue
• JavaScript (ES6+)
• HTML5 & CSS3
• jQuery / jQuery UI
• Version control (Git)
• Frontend frameworks/libraries
• Cross-browser and cross-device testing tools
• Claude Design (claude.ai/design)
• Claude API / Anthropic SDK
   

What We're Looking For

• 3+ years of experience as a Frontend Developer.
• Fluent written and spoken English.
• Solid understanding of JavaScript and modern frameworks (React, Next.js, Vue).
• Strong experience with responsive design and modern web standards (HTML5, CSS3, JS).
• Hands-on experience with Claude Design — you've used it to create prototypes, mockups, or UI flows and understand how it fits into a modern frontend workflow.
• Knowledge of performance optimization and accessibility best practices.
• Comfortable working with APIs and integrating data from backend systems.
• Proficient in Git-based workflows (branches, pull requests, code reviews).
• Passion for clean, maintainable code and user-friendly design.
• 
   

Nice to Have

• Knowledge of Bootstrap and familiarity with .NET environments.
• Experience with TypeScript, GraphQL, or headless CMSs.
   

Why Join Us

• Work remotely with flexibility, preferably based around Kyiv.
• Join a company that already has team members in Kyiv, making collaboration seamless.
• Be part of a dynamic, fast-growing international company.
• Help build a product that brings joy to people around the world.
• Play a hands-on role in how we adopt AI tooling — Claude Design is going into our stack, and you'll help shape how we use it.
• Competitive compensation and a collaborative, idea-driven environment.

Required skills:
— Experience with LLMs (OpenAI, Claude, LLaMA or similar)
— Experience building RAG systems (knowledge bases, embeddings, retrieval)
— Hands-on experience developing AI solutions in production
— Strong Python skills (FastAPI / async / API integrations)
— Experience integrating AI with databases (PostgreSQL)
— Experience with message queues (RabbitMQ)
— Understanding of real-time system architecture
— Experience with ASR (speech-to-text) and TTS (text-to-speech)
— Understanding of voice/chat AI pipeline architecture
— Experience working with APIs and microservice architecture
— Experience with high-load systems
— 3+ years of experience
— Ability to work with business logic and real client data

Nice to have:
— Experience building voice bots (inbound / outbound)
— Experience in call centers / fintech / collections
— Experience with WebRTC / streaming
— Docker / Kubernetes
— Experience in call analysis (agent scoring, script compliance monitoring)

Responsibilities:
— Develop AI chat systems working with real client data (CRM, history, statuses)
— Build RAG systems based on company knowledge bases
— Develop voice AI bots (inbound and outbound calls)
— Integrate AI with internal systems (CRM, ERP, APIs)
— Implement dialogue logic based on business scripts and protocols
— Analyze calls: transcription, quality scoring, detection of script deviations
— Automate call center operations and improve agent efficiency
— Optimize latency and stability of AI solutions in real-time environments
— Work with large volumes of data (calls, chats, customer history)
— Build and develop internal AI services for the company
— Collaborate with backend and DevOps teams to integrate AI into products

About the project:

The Client provides comprehensive operational support and a range of expert services to the world’s leading insurers, brokers, fleet managers and automotive manufacturers. 3,300 employees across ten countries deliver exceptional standards on a large scale for over 1,200 clients. We help the global insurance market to handle millions of claims each year in the most cost-effective and efficient ways possible. The Client is embarking on an exciting and challenging transformation program and our software solutions are a driving force behind this strategy using cloud computing and leading-edge design patterns.
This is AI First project with massive usage of AI DLC practices.

Key Responsibilities:

• Writing automated test scripts to verify and validate that the new software meets the business needs
• Gaining a strong understanding of the business operation
• Recording and monitoring QA test results 
• Enhancing existing automation back end and front end framework 
• Providing coaching support to others in the QA team
• Providing QA effort estimates in work refinement sessions
• Helping to drive the test automation strategy across the business
• Running performance tests and ensuring that the results meet established levels
• Assisting in the user acceptance test (UAT) process by helping end users understand how to use the software
• Test planning activities and stream ownership
• AI driven mindset and readiness.

• Be an active member of the Scrum team, improving processes and ensuring that the team delivers on their commitment

   

Knowledge and Skills required:

• 5+ years of experience in testing
• Eng (b2+), Spanish (b1) - optional but favorable
• .NET + Resharp
• TypeScript _ Playwright 
• Test data creation
• Rest and Soap Api Testing 
• Exploratory Testing
• Git
• AI DLC practices (MCP servers, .md files, ecosystem building)
• Knowledge of current industry-wide quality & test processes, practices, tools and techniques.
• Self-organizing problem solver with the ability to think outside the box.
• Works effectively with both local and remote colleagues, collaborating, motivating, and energizing others.
• Excellent verbal and written communication skills with strong attention to detail.
• Continuously looking to improve and learn new technologies, participating actively in the development community, contributing to blogs, researching or Opensource.

• Enjoys working in a fast-paced environment.

   

Experience required:

• Previous experience working in medium to large sized development teams.
  Working on enterprise level customers
• Experience working in an agile environment employing scrum methodology and JIRA as a SDLC management tool.
• AI mindset is much preferable.

For 15 years, Alty has reached the top lists of mobile and desktop application developers for fintech, retail, banking, and tourism. Our professional expertise in UI/UX design, mobile, and web development of high-load applications used by millions of users worldwide. You know us for sure if you use Monobank, Privat24 for Business, ZakazUA, EasyPay, Kashable, or Sfera Living System. We also have a partnership with Visa and Mastercard. Our clients are enterprises and corporations that recommend us to partners. We put the customer at the heart of all we do and achieve our best together. Join us!
 

About the Role:

We are looking for an AI Enablement Specialist — a highly proactive, cross-functional professional who will help us rethink how digital products are built, delivered, and scaled using AI.

This is not a traditional engineering or design role. Instead, we’re looking for someone who understands product development holistically — spanning business, design, and engineering — and can identify, test, and implement  AI-driven approaches that significantly improve speed, quality, and innovation.

You will play a key role in shaping how we adopt AI across workflows, from early prototyping to delivery and even sales enablement.
 

Key Responsibilities:

— Drive AI adoption and modernization across product development processes.

— Identify, test, and implement AI-powered tools and workflows to accelerate delivery.

— Actively participate in brainstorming, product discussions, and strategic decisions.

— Propose new approaches and ideas — including those the team hasn’t yet even considered.

— Facilitate strong cross-team communication between business, design, and engineering.

— Prototype solutions using modern AI tools instead of traditional workflows where applicable.

— Continuously explore and evaluate emerging AI tools and methodologies.

— Build and showcase real use cases demonstrating efficiency gains and improvements.

— Support client-facing activities and sales, helping articulate AI-driven value propositions.

— Educate and guide teams on how to effectively leverage AI in their daily work.
 

What We’re Looking For:
— Proven examples of process optimization or innovation using AI.
— Strong understanding of digital product development (across design, engineering, and business).
— Experience and deep interest in AI-enabled workflows and tools.
— Experience in pre-sales, consulting, or client interaction.
— A self-starter mindset — someone who brings ideas, not just executes tasks.
— Excellent communication and facilitation skills.
— Curiosity and drive to continuously explore, experiment, and improve.
— Ability to translate complex ideas into clear, actionable insights.
— Understanding of how businesses operate and how technology drives value.
— Experience with rapid prototyping and modern tools (LLMs, AI copilots, no-code/low-code platforms, etc.).
 

What Success Looks Like:
— Faster product development cycles through AI-driven improvements.
— Tangible examples of efficiency gains and innovation.
— Increased adoption of AI tools across teams.
— Increased number of new clients driven by improved delivery capabilities, visible innovation, faster execution, and AI-powered value delivery.
— New, unexpected ideas that push the company forward.
 

What we offer for you to succeed:

— Warm and friendly working environment with flexible start (from 8:00 to 11:00) based on personal preferences and team meetings.

— We put a healthy work-life balance first.

— Caring for physical and mental health.

— Speaking Club and English with a teacher.

— Volunteer projects that help the state get closer to victory.

— A space to grow both professionally and personally. A wide variety of exciting projects, the best hardware for your work, performance reviews, educational workshops, and team coaching.

— No tiresome bureaucracy. If you need something — just ask and get it.
 

Our employees describe working here as a welcoming, collaborative, and impactful experience. If you are a creative and energetic person, we cannot wait to see you on board!

NeduAI is a Finnish GovTech startup at the intersection of education and public sector service delivery. We're building SmartProfile — a "neural hub" connecting skills, jobs, and education — replacing static resumes and outdated job boards with a data-driven, human-centered career ecosystem.

We partner with Finnish municipalities (Vantaa, Kotka), Unemployment Funds (A-kassa), Trade Unions, and educational institutions (XAMK, Laurea). You're joining at a critical scaling phase as we expand from Finland to a broader Nordic presence.

What you'll own:

• Lead the engineering team, set best practices, and own the technical roadmap
• Drive migration from AWS/Azure to EU-based sovereign infrastructure
• Manage PostgreSQL + Vector store architecture powering ML features and RAG capabilities
• Ensure GDPR & AI Act compliance, OAuth/MFA, data encryption
• Architect and scale RESTful APIs integrating SmartProfile with client systems
• Lead development of Assistant PRO — an AI agent for public sector administrators

What we're looking for:

• Proven experience leading technical teams
• Expert backend development (Python, Node.js, or Go) + distributed systems
• Kubernetes, containerization, production workloads (99.5%+ SLA)
• AI integrations, Vector Databases + PostgreSQL
• LLM fine-tuning, monitoring, and agentic workflow experience
• OAuth 2.0, encryption protocols, data privacy regulations
• Automated testing and monitoring/DevOps practices

We are looking for an experienced freelance developer to join an ongoing project for an international client. The role focuses on designing and building intelligent agent systems powered by large language models, alongside contributing to broader AI and Data Science initiatives.

Important!

This role involves some travel to the Netherlands to collaborate closely with the client, run in-person consulting sessions at the WeAreBrain office in Amsterdam, and occasionally visit the client’s office. Candidates must have the flexibility and ability to travel within Europe.

About the role You will work on both client-facing projects, designing LLM-powered agents, building the data infrastructure that supports them, and helping keep AI systems reliable in production. You'll collaborate directly with cross-functional teams, so strong communication skills are essential. The engagement is project-based 

Key responsibilities

·       Python software development across client and internal projects related to AI and Data Science

·       Design and implement LLM-powered AI agents, including agent configuration and prompt engineering

·       Build and maintain data pipelines that feed and support AI systems

·       Collaborate with cross-functional teams to define requirements and deliver features

·       Stay current with emerging AI frameworks, tools, and technologies

·       Contribute to monitoring and troubleshooting AI systems in production

Required skills and experience

·       Proficiency in Python, including async patterns, API integration, and production-quality code

·       Demonstrable experience designing and shipping LLM-powered agents (please share examples or repos)

·       Hands-on experience with frameworks such as LangChain, LlamaIndex, LangGraph, CrewAI, or similar

·       Solid understanding of prompt engineering, RAG pipelines, and tool/function calling

·       Experience building and maintaining data pipelines (e.g. Airflow, Prefect, Dagster, or equivalent)

·       Familiarity with vector databases and embeddings

·       Comfortable working in cross-functional teams and translating business requirements into technical solutions

·       Fluent professional English (written and spoken) – mandatory

Nice to have

·       Experience with multi-agent systems or agentic workflows in production

·       Background in MLOps, observability, or deploying LLM systems at scale

·       Experience with cloud platforms (AWS, GCP, or Azure)

·       Exposure to evaluation frameworks for LLM applications

CommerceMate is a full-service e-commerce agency based out of Los Angeles, California, with a great portfolio of clients and an excellent reputation. Our team of designers, developers, solutions architects, and e-comm consultants is growing, and we are looking for more talented people to join our team. We launch and optimize Shopify Plus stores for some of the best DTC brands globally.

The role and responsibilities:

Ecommerce Growth Engineer is a hybrid role, the combination of these things:
 

• Building and maintaining Shopify Plus stores: themes (Liquid, Online Store 2.0), custom sections, app integrations, performance with Claude Code and Figma MCP.
• Implementing and improving subscription strategies: selling plans, bundle logic, switcher UX, retention flows.
• Read, interpret, and own data. Shopify reports, GA4, A/B tests analytics. Reading and reporting on store metrics and recommending the next move.
• Setting up and running A/B tests (Intelligems or equivalent), maintaining control/test parity, interpreting results.
• Owning post-launch quality: pre-launch checklists, end-to-end merchant and customer walkthroughs, bug logging.
   

Skills required:

• Strong Shopify Plus development and front-end skills: Liquid, theme architecture, sections/blocks, Shopify APIs (Admin, Storefront, GraphQL). HTML, CSS, JavaScript at production level.
• Fluent in the Shopify ecosystem and apps, with in-depth understanding of subscriptions: Recharge, Skio, Stay.AI, or Shopify.
• Fluent in analytics: Shopify reports, GA4 basics, conversion funnels, cohorts.
• AI-native workflow: Claude Code, MCP integrations (Figma + Notion is a minimum).
• Great communication skills: spoken and written English. We are direct-to-client.
   

Job Type:

• 100% remote. Work where you want.
• Direct line to the founder and to clients. No bottleneck.
• Competitive compensation with structured tier upgrades.
• A defined growth path with explicit promotion criteria, not vibes-based reviews.
   

To apply please send us:
 

1. Your best case study or a Shopify project with a one-paragraph description of what you actually owned.
2. Your resume or LinkedIn.
3. One example of a problem you solved with AI tooling (any model).

We are looking for an AI/ML Engineer to build and scale AI-powered solutions for real-world use cases. This is a hands-on role focused on developing agentic systems, RAG pipelines, fine-tuning workflows, and production-grade LLM integrations.

Part-time during the first month

Requirements

• 4+ years of commercial development experience (Python is a plus)
• Experience building real AI/ML applications
• Strong understanding of modern AI/ML workflows and LLM ecosystems
• Hands-on experience with ML frameworks such as TensorFlow or PyTorch (JAX is also acceptable)
• Experience with LLM APIs (OpenAI, Claude, etc.)
• Understanding of RAG pipelines and AI workflows
• Experience with APIs and third-party integrations
• Basic prompt engineering skills
• Good communication skills
• Comfortable working in a fast-paced environment

Nice to have

• Experience with LoRA, QLoRA, adapters, or other fine-tuning approaches
• Experience with LLM frameworks such as LangChain or LlamaIndex
• Experience working with clients or enterprise systems
• Background as an AI Engineer, ML Engineer, or Data Scientist

Responsibilities

• Build AI-powered features using LLMs (Claude, OpenAI, etc.)
• Develop and optimize RAG pipelines
• Create AI agents and autonomous workflows
• Fine-tune and adapt ML/LLM models for specific use cases
• Integrate AI solutions into products via APIs
• Collaborate with the team and clients to deliver production-ready solutions

Company Description

Warmy.io is an AI-driven email deliverability platform trusted by over 35,000 businesses, marketers, and sales teams worldwide. Specializing in automated email warm-up solutions, the platform helps B2B and B2C senders ensure their emails land in the primary inbox. With features such as domain optimization, real-time inbox placement monitoring, and support for email authentication (SPF, DKIM, and DMARC), Warmy.io simplifies email deliverability for global users in 30+ languages. Recognized as an award-winning solution on G2, Warmy.io offers a seamless way to maintain email sender reputation without requiring technical expertise.

Role Description

This is a full-time, remote role for a Senior Technical SEO & AI Search Specialist. The role involves creating, managing, and optimizing technical SEO strategies to improve website ranking and visibility. Responsibilities include conducting deep keyword research, optimizing website structure, implementing AI search strategies, performing site audits, and utilizing analytics tools to measure effectiveness. The specialist will collaborate with cross-functional teams to develop content strategies aligned with SEO, ensuring that Warmy.io achieves growth in organic traffic and enhanced search engine performance.

Qualifications

• 4-6 years of experience in Technical SEO, with a strong track record of driving organic growth
• Technical SEO expertise, including proficiency in site audits, on-page optimization, and URL structuring
• Experience with AI-powered search technologies and LLM optimizations
• Proficiency in analytical tools like Google Analytics, Google Search Console, and performance tracking metrics
• Skills in keyword research, content optimization, and implementing structured data
• Strong communication skills to collaborate with cross-functional teams and explain technical SEO concepts
• Familiarity with web technologies such as HTML, CSS, and JavaScript is an advantage
• Prior experience in email marketing or deliverability optimization is a plus
• Bachelor’s degree in Marketing, Computer Science, or a related field preferred, or equivalent practical experience

We are looking for an AI/ML Engineer to build and scale AI-powered solutions for real-world use cases. This is a hands-on role focused on developing agentic systems, RAG pipelines, fine-tuning workflows, and production-grade LLM integrations.

Part-time during the first month

Requirements

• 4+ years of commercial development experience (Python is a plus)
• Experience building real AI/ML applications
• Strong understanding of modern AI/ML workflows and LLM ecosystems
• Hands-on experience with ML frameworks such as TensorFlow or PyTorch (JAX is also acceptable)
• Experience with LLM APIs (OpenAI, Claude, etc.)
• Understanding of RAG pipelines and AI workflows
• Experience with APIs and third-party integrations
• Basic prompt engineering skills
• Good communication skills
• Comfortable working in a fast-paced environment

Nice to have

• Experience with LoRA, QLoRA, adapters, or other fine-tuning approaches
• Experience with LLM frameworks such as LangChain or LlamaIndex
• Experience working with clients or enterprise systems
• Background as an AI Engineer, ML Engineer, or Data Scientist

Responsibilities

• Build AI-powered features using LLMs (Claude, OpenAI, etc.)
• Develop and optimize RAG pipelines
• Create AI agents and autonomous workflows
• Fine-tune and adapt ML/LLM models for specific use cases
• Integrate AI solutions into products via APIs
• Collaborate with the team and clients to deliver production-ready solutions