Jobs AI

At Geniusee, we help businesses thrive through technology partnerships and strengthen the engineering community by sharing knowledge and creating opportunities 🙌
 

We live by our values: Continuous Growth, Team Synergy, Taking Responsibility, Conscious Openness, and Result-Driven Mindset. Here, you’ll find a safe, inclusive, and supportive environment where your voice is heard, and feedback is welcome 🤗
 

Whether you want to work from home or from our offices in Kyiv / Lviv / Warsaw with stable electricity and Wi-Fi, we’ve got you covered.

Join us and make an impact 💜

About the project: Healthcare

Requirements:

• 3+ years in design, development, and maintenance of backend services primarily using Python;
• Collaborate on system architecture decisions and validate technical approaches;
• Contribute to AI/LLM-related workflows and evaluation processes;
• Support integration-heavy insurance and dental management workflows;
• Work within a rapidly evolving startup environment with shifting priorities;
• Participate in deployment and infrastructure discussions around AWS or Azure and Docker;
• Maintain high responsiveness and close collaboration with the internal team;
• Help retain and build domain-specific business context over long-term engagement.
   

Responsibilities:

• Design, develop, and maintain backend services primarily using Python;
• Collaborate on system architecture decisions and validate technical approaches;
• Contribute to AI/LLM-related workflows and evaluation processes
• Support integration-heavy insurance and dental management workflows;
• Work within a rapidly evolving startup environment with shifting priorities;
• Participate in deployment and infrastructure discussions around Azure and Docker;
• Maintain high responsiveness and close collaboration with the internal team;

Help retain and build domain-specific business context over long-term engagement.

What will you get:

Career growth & projects
● Competitive salary based on your skills and experience, and a benefits package.
● Regular performance appraisals to support your career development.
● Professional development support: online courses, certifications, and study compensation (including English courses).
● A modern tech stack across challenging, long-term projects.

Health & well-being
● Paid vacation (18 working days) and sick leave (15 days).
● VIP medical insurance or sports coverage.

Work environment & flexibility
● Remote work from anywhere in the world or in one of our offices in Kyiv, Lviv, or Warsaw.
● Coworking compensation.
● Necessary equipment to perform your work.

Culture & community
● A collaborative and open culture where contributions are recognized.
● Regular corporate online & offline activities.
● Geniusee Charity Fund, making a difference beyond tech. 

Mirko Solutions is an international IT company specializing in web and mobile development for clients across the US, Canada, EU, and Australia. We are growing rapidly and are looking for a Middle\Senior AI Engineer to join our team and drive complex, high-impact projects.

Job Requirements:

• 3+ years of experience deploying machine learning models (classical ML and/or LLMs) in cloud environments (AWS/GCP/Azure) using containers and Kubernetes
• Hands-on experience with MLOps tools such as MLflow, Kubeflow, SageMaker, Vertex AI, Feast, or equivalent
• Proven experience building robust data/feature pipelines and implementing monitoring for model drift and performance
• Strong Software Engineering fundamentals: version control, automated testing, CI/CD, security, and cost-aware development
• Excellent collaboration and communication skills in  English 
• Ownership mindset, curiosity, and a bias for action in a fast-paced environment

Responsibilities:

• Design, implement, and maintain end-to-end ML pipelines for both classical ML and LLM-based solutions
• Deploy and manage models in cloud environments (AWS / GCP / Azure) using containers and Kubernetes
• Apply MLOps best practices for reproducibility, automation, and monitoring
• Build reliable data/feature pipelines and implement real-time monitoring for model drift, latency, and performance tracking
• Actively contribute to engineering excellence through CI/CD, testing, security, and cost optimization

Nice to have:

• Experience with deep learning frameworks such as PyTorch or TensorFlow
• Understanding of distributed systems (Spark, Ray)
• Experience working with feature stores and data governance

We provide the following for our employees:

• Competitive salary according to qualification
• Comfortable working environment
• Experienced colleagues
• Opportunity to work with interesting projects,
• Regular performance reviews
• Friendly atmosphere, care for the comfort of professionals

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 and production-grade LLM integrations.

Requirements

• 4+ years of commercial development experience 
• Strong experience with LLM-based systems (RAG, agents, tools)
• Ability to design end-to-end AI architecture (data → retrieval → response)
• Experience with evaluation pipelines (golden datasets, metrics, LLM-as-judge)
• Solid understanding of prompt engineering and iteration
• Experience working with databases (Postgres) + vector search
• Understanding of data processing, PII detection, and safe data handling
• Familiarity with fine-tuning approaches (LoRA/QLoRA) and when to use them
• Ability to review and validate AI-generated code
• Strong engineering mindset (scalability, reliability, structured thinking)

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

TJHelpers is committed to developing strong engineering teams through mentorship, real project experience, and our “Helpers as a Service” model. We provide structured growth, hands-on practice, and a supportive environment where engineers can evolve quickly and meaningfully.

We are looking for a Senior AI/LLM Data Engineer (Technical Consultant) to join our team and help design, build, and scale modern data pipelines and retrieval systems for AI-driven products in fintech, healthcare, telecommunications, automation, and other data-intensive domains.

This role is ideal for an engineer who combines strong data engineering fundamentals with hands-on experience in LLM and RAG systems and can contribute not only through implementation, but also through architecture design, technical planning, and consulting-driven engineering decisions.

Responsibilities

• Design and develop scalable data pipelines for AI/LLM products and internal data platforms 
• Build and maintain ingestion, transformation, chunking, enrichment, indexing, and retrieval workflows 
• Prepare and structure data for RAG systems, semantic search, embeddings, and LLM evaluation workflows 
• Support fine-tuning and data preparation workflows for LLM use cases 
• Work with structured, semi-structured, and unstructured data from documents, APIs, databases, and external systems 
• Design and optimize retrieval pipelines, including metadata strategies, filtering, ranking, and relevance improvements 
• Integrate LLM-based solutions with data platforms, vector storage systems, search platforms, and backend services 
• Participate in architecture design, technical planning, and engineering decision-making for AI/LLM initiatives 
• Improve system quality, scalability, reliability, observability, and cost efficiency 
• Diagnose and resolve complex issues in production AI/data environments 
• Collaborate closely with engineers, product teams, analytics, and AI teams 
• Transform business requirements into practical AI/data engineering solutions 

Requirements

• Strong commercial experience in data engineering with hands-on work building data pipelines, ETL/ELT workflows, and distributed data processing systems 
• Hands-on experience with AI/LLM systems, RAG pipelines, embeddings, semantic search, or vector search/retrieval systems 
• Strong Python and SQL skills 
• Experience working with structured, semi-structured, and unstructured data in production environments 
• Strong understanding of data modeling, data transformation, validation, and data quality practices 
• Experience designing scalable and maintainable data workflows 
• Experience with modern data platforms and tools such as Airflow, dbt, Spark, Kafka, or similar technologies 
• Experience with vector databases or search platforms such as Pinecone, Weaviate, Milvus, Elasticsearch, or OpenSearch 
• Understanding of data preparation and optimization techniques for LLM use cases, including chunking, metadata strategies, and retrieval quality improvements 
• Experience with cloud platforms such as AWS, GCP, or Azure 
• Experience with Docker, CI/CD pipelines, and production deployment practices 
• Ability to work independently, make technical decisions, and clearly communicate trade-offs and architectural choices 
• Experience participating in technical consulting, solution design, or client-facing technical discussions 
• English level: B2 or higher 

Nice to Have

• Experience with LLM evaluation frameworks, prompt pipelines, or fine-tuning workflows 
• Familiarity with LangChain, LlamaIndex, or similar orchestration frameworks 
• Experience with reranking, hybrid search, recommendation systems, or knowledge graphs 
• Understanding of MLOps, LLMOps, observability, and experimentation workflows 
• Experience with modern data warehouse or lakehouse platforms such as BigQuery, Snowflake, Redshift, or Databricks 
• Understanding of security, governance, and privacy practices in AI/data systems 

What We Offer

• Work on real-world AI/LLM and data-intensive products 
• Opportunity to participate in architecture, technical discovery, and solution design — not only implementation 
• Collaboration with strong engineers, architects, and product teams 
• Clear growth path toward AI Architect, Data Platform Architect, or Technical Lead roles 
• Open engineering culture focused on ownership, transparency, and continuous improvement 
• Long-term projects, flexible schedule, and fully remote work opportunities

Dripify (🔗 dripify.com) is looking for an AI Product Owner who can turn ideas, customer needs, and data into exceptional user experiences. You’ll do discovery, define solutions, and ensure Dripify continues to innovate in LinkedIn automation, analytics, email, and AI-powered outreach.

You’ll work closely with Head of Product and Operations, transforming business requirements into clear specifications, epics, and acceptance criteria. From gathering insights and conducting market and competitor analysis to refining processes and shaping solutions, you’ll make sure every feature is well thought-out, valuable, and perfectly integrated into the product.

You’ll collaborate with stakeholders, developers, QA, and UX/UI designer to ensure requirements are clear, technical questions are resolved, and features meet quality standards. You’ll turn feedback from sales, support, and other teams into actionable improvements, manage the backlog to ensure we’re always ready for development, and continuously improve how we collect data, document processes, and deliver updates.

We’re looking for someone who can balance vision with execution, someone who thrives on solving business challenges, understanding user needs and creating thoughtful solutions backed by research and data.
_____________________________________________________________

Requirements:
 

• 3+ years of experience as a Product Owner, Business Analyst, or similar role working with B2B SaaS products.
• Proven track record of delivering AI features to production environments.
• Experience working with LLMs and prompt engineering.
• Experience handling hallucinations and evaluating AI output quality.
• Experience testing, iterating, and improving AI-generated outputs.
• You deliver complete features end-to-end, from discovery and research to specification writing, prototyping, refinement, release, and post-launch evaluation.
• You have hands-on experience with Agile/Scrum methodologies and work effectively in sprint-based teams.
• You write clear, structured, and testable acceptance criteria, ensuring effective communication between product, design, development, and QA teams.
• You have a strong analytical mindset and take initiative in conducting competitor research and gathering user feedback to shape impactful features.
• You communicate effectively and align cross-functional teams, including designers, developers, QA, support, marketing, and sales around a shared product vision.
• You have practical experience with Jira and Confluence for managing epics, user stories, backlogs, and product documentation at scale.
• You work closely with UX/UI designer, use Figma for prototyping, refine flows, and ensure user-friendly, intuitive solutions aligned with product goals.
• You demonstrate strong attention to detail and maintain high-quality specifications and documentation to reduce misunderstandings and rework.
• You are proactive and take initiative, identifying product opportunities, proposing improvements, and driving innovation rather than simply executing assigned tasks.
• You have a proven track record of collaborating closely with designers, developers, and QA teams to successfully deliver end-to-end features that create real user value.
  
   

Responsibilities:
 

• Own the full feature lifecycle from discovery and research to prototyping, specification, development, release, and continuous iteration.
• Conduct deep discovery to understand customer needs, ICP priorities, and user pain points through feedback, interviews, and analytics.
• Research the market and competitors (direct, indirect, and alternative solutions) to identify opportunities, benchmark best practices, and inform product strategy.
• Stay ahead of B2B SaaS best practices, focusing on your chosen domain, LinkedIn automation and the core Dripify domain, AI or email outreach to strengthen Dripify’s competitive positioning, proactively propose innovative features and competitive differentiators within your domain to strengthen Dripify’s market position.
• Make data-driven product decisions by aligning initiatives with the product vision, conducting competitive analysis, evaluating solution alternatives, assessing risks and dependencies, and selecting the approach that best balances user value, business impact, technical feasibility, and effort.
• Write clear, structured feature specifications with well-defined acceptance criteria, addressing all corner cases and minimizing rework.
• Collaborate with a designer in Figma to create wireframes and prototypes that validate workflows and deliver intuitive, user-friendly UX.
• Translate high-level product ideas into well-scoped epics and user stories with measurable outcomes.
• Work closely with developers to refine requirements, clarify dependencies, and estimate scope during grooming.
• Own and maintain the product backlog, ensuring it is structured, prioritized, and consistently 2-3 sprints ahead of development.
• Act as the bridge between product, engineering, design, QA, marketing, sales, and support, ensuring clear communication and alignment throughout delivery.
• Partner with QA to define and uphold acceptance criteria, validate solutions, and ensure high-quality releases.
• Collaborate with marketing, sales, and support teams to plan feature launches, prepare enablement materials, and drive customer adoption.
• Monitor feature performance post-release and gather feedback from users, support, and sales to drive improvements, bug fixes, and iterative improvements.
• Continuously improve product team processes to increase delivery speed and improve product quality.
• Deepen product and domain expertise to make smarter, context-aware decisions based on technical constraints, customer workflows and historical insights.
• Report to the Head of Product & Operations, providing updates on progress, current risks and blockers, feature performance, and key priorities with next steps.
   

_____________________________________________________________

Work conditions:
 

• 100% remote position, providing flexibility and work-life balance.
• Competitive salary reflecting your skills and expertise.
• 24 days of paid vacation per year to recharge and relax.
• 10 days of paid sick leave.
• Educational opportunities.
• Compensation budget for medical and hobby/sport expenses.
• Generous budget for birthdays and anniversaries.
• Online and offline team events.
• A collaborative and innovative work environment with passionate team members.

_____________________________________________________________
 

Hiring process:
 

✅ Interview with Talent Acquisition Specialist (45 — 60 min) - ✅ Test assignment - ✅ Final interview with Head of Product & Operations - ✅ Reference check - ✅ Offer
 

Responsibilities
— Create long-form AI videos (3–10+ minutes), not just short clips
— Combine AI-generated visuals with traditional editing, VFX, and storytelling
— Build consistent characters, environments, and narrative across scenes
— Turn scripts or ideas into cohesive cinematic content
— Work with tools like ChatGPT, Midjourney, Runway, Pika, etc.
— Ensure visual continuity, pacing, and story flow
— Collaborate on creative direction and experiment with new formats

What we’re looking for
— Experience creating AI videos beyond short-form (important)
— Strong storytelling skills (not just visuals)
— Ability to connect scenes into a continuous narrative (not a “sequence of images”)
— Understanding of VFX, editing, or filmmaking pipelines
— Experience with character consistency and world-building
— Ability to work with sound design / dialogue is a big plus

Strong advantage if you have
— Background in film directing, editing, or VFX
— Experience with long AI films, trailers, or narrative projects
— Skills in building AI pipelines for video production
— Experience with genres like sci-fi, cinematic storytelling, or horror

Format
— Remote
— Project-based / long-term collaboration

Our client is a fast-growing, innovation-driven company working at the forefront of robotics and AI. Their mission is to build advanced autonomous robotic systems capable of operating in real-world environments. They combine expertise in machine learning, computer vision, and robotics to solve complex problems in perception, manipulation, and task planning.

Their teams are composed of highly skilled engineers and researchers who thrive on tackling cutting-edge challenges, engaging in deep technical discussions, and building systems that move from research to real-world production. They value independence, technical excellence, and the ability to deliver in fast-paced, experimental environments.

About the Role:

We are seeking a Principal Robotics AI Engineer for our client. In this role, you will lead the technical development of AI-based robotic systems with a strong focus on dexterous manipulation, perception, and task planning.

You will play a key role in designing and improving data pipelines, working with egocentric datasets, and applying modern AI approaches such as VLA, RL, and VLMs to real-world robotics problems. This is a highly impactful role where you will help shape both the AI systems and the underlying data infrastructure that powers them.

Responsibilities:

• Lead the development of AI-driven autonomous robotic systems with a focus on dexterous manipulation and task planning;
• Build and maintain egocentric data pipelines, including data collection, annotation, and quality assurance at scale;
• Apply VLA, reinforcement learning, and VLM-based approaches to manipulation tasks in industrial, retail, and household environments;
• Collaborate with robotics labs to understand data and pipeline requirements and deliver high-quality training datasets;
• Contribute to perception and machine learning systems deployed on physical robots operating in complex real-world environments;
• Help define and guide the technical direction of AI tooling and data infrastructure;
• Drive technical decisions and work independently to deliver production-ready solutions.

Requirements:

• 5+ years of hands-on experience in robotics AI, ideally at companies or labs such as Boston Dynamics, Figure, Tesla Optimus, Apptronik, or similar;
• Strong expertise in perception and ML systems for autonomous robots, including computer vision, 2D/3D scene understanding, object detection, and manipulation;
• Experience with VLA models, reinforcement learning, and VLM-based task planning in real-world deployments;
• Deep understanding of egocentric video data and how manipulation datasets are structured for robot learning;
• Proven ability to lead technical work independently and deliver in production environments;
• Strong problem-solving skills and ability to work in fast-paced, cutting-edge environments;
• PhD or equivalent industry experience in ML, robotics, computer vision, or a related field.

Nice to Have:

• Experience with ROS or similar robotics middleware;
• Background in remote sensing, GIS, or multi-modal data systems;
• Familiarity with synthetic data generation or sim-to-real transfer;
• Experience with DARPA, government research programs, or applied AI research labs.

We Offer:

• Competitive market salary
• Fully remote work
• Convenient and somewhat flexible working hours
• 28 days of paid time off per calendar year
• The chance to work on meaningful, socially valuable products alongside a highly professional, international team
• Interesting technical challenges with opportunities to grow and learn

We’re looking for an AI Engineer to join our outsourcing team — not a pure ML researcher, but a pragmatic, data-driven backend engineer who knows how to put LLMs, vision APIs, and off-the-shelf models to work inside real products.

Most of our work isn’t training models from scratch — it’s understanding the business logic, collecting and cleaning data, wiring it into LLMs or services like AWS Textract, and shipping the result as a reliable API inside our existing platform.

If you’ve spent the last few years building APIs and integrations, you’re comfortable with data, and you’ve leaned hard into Cursor or Claude Code to deliver projects faster — this is for you.

What you’ll do

• Build and ship LLM-powered features: prompt design, data prep, passing context to the model, parsing and validating output, returning clean APIs.
• Design and implement integrations between our product and third-party AI services (OpenAI, Anthropic, Hugging Face models, AWS Textract, etc.).
• Take document-processing and computer-vision tasks end-to-end: ingest → Textract/vision API → post-process → structured output consumed by our backend.
• Write backend services and APIs in Node.js (our primary backend), dropping into Python when a task calls for it (model work, data scripts, fine-tuning).
• Fine-tune existing models and prompts — not from scratch, but iterating on what’s already in place to get better accuracy, cost, or latency.
• Do the unglamorous but critical work: data collection, cleaning, transformation, pattern-finding — often by letting an LLM do the heavy lifting on structured and unstructured input.
• Maintain and improve existing AI and automation workflows already running in production.
• Monitor cost and performance of model/API usage, propose optimizations, and forecast costs for new features.
• Prepare and present demos and solution overviews to U.S.-based clients.
• Document architecture, prompts, and pipelines in Confluence.

What we’re looking for

• 2+ years shipping production backend systems, with meaningful hands-on experience integrating LLMs or AI APIs into real products.
• Strong in Node.js with the flexibility to work in Python. We need someone ready to switch to Puthon if needed.
• Solid grasp of algorithms and data structures — enough to write custom logic when an LLM or library can’t cover the case.
• Real experience with LLM integrations: OpenAI, Anthropic, or similar. Prompt engineering, function/tool calling, structured output, retrieval, evaluation.
• Familiarity with the Hugging Face ecosystem — picking models, running inference, fine-tuning where it makes sense.
• API and integrations background: REST, auth, webhooks, rate limits, retries, idempotency — the stuff that makes integrations not break at 2 a.m.
• Comfortable with data work: collecting, cleaning, transforming, and analyzing data (SQL, pandas, or the Node equivalents).
• Working knowledge of AWS — especially Textract, Lambda, S3, and the services around document and data pipelines. Bonus for Athena, Glue, Kinesis, SageMaker.
• Exposure to NLP and Computer Vision concepts — enough to pick the right tool and evaluate results, not necessarily to train SOTA models.
• Familiarity with CI/CD and deploying AI-powered services to production.
• Experience building chatbot workflows — conversational flows, multi-turn logic, context management — is a plus, as this is among our planned projects.
• AI-native delivery workflow. You use Cursor or Claude Code daily and know how to ship a project with minimal hand-written code — scoping work for the agent, reviewing generated code critically, orchestrating multi-step tasks, and getting to shipped quality faster than a traditional workflow. If you can’t describe how you use these tools to deliver, this role isn’t the right fit.

Nice to have

• Experience fine-tuning open-source LLMs or vision models on domain-specific data.
• Background in fintech, healthcare, or construction domains.
• Experience with vector databases, RAG pipelines, or agentic workflows.

What we offer

• Competitive salary with regular reviews.
• Support for individual entrepreneurs with accounting assistance.
• Fully remote work.
• A clear path for professional development and growth.
• A friendly team environment and engaging team-building activities (online and offline).

Description

We are building an AI-driven SDLC automation platform leveraging AWS Bedrock, knowledge bases, domain agents, and tool-based orchestration.
We are looking for a Lead AI Engineer to design and implement the AI architecture, including RAG pipelines, agent systems, tool-calling mechanisms (MCP-style architectures), model evaluation, and guardrails.
This role requires real production GenAI experience, not experimentation.

Requirements

• 6+ years software engineering experience
• 3+ years hands-on ML / AI engineering experience
• Strong Python (mandatory)
• Proven production experience with LLM systems
• Deep understanding of: RAG architecture, Embeddings, Chunking strategies, Retrieval optimization
• Experience with AWS Bedrock
• Experience designing tool-calling LLM systems (MCP or equivalent architecture)
• Experience integrating external APIs as agent tools
• Experience building REST services (FastAPI or similar)
• Experience with vector databases (OpenSearch, Pinecone, etc.)
• Experience implementing evaluation frameworks for LLM quality
• Experience mitigating hallucinations and prompt instability
• Strong understanding of: Token economics, Context window constraints, Cost-performance tradeoffs
• Experience integrating with GitHub and JIRA APIs
• Production experience beyond notebooks or PoCs

Job responsibilities

• Implement RAG pipelines on AWS Bedrock
• Design knowledge ingestion pipelines (JIRA, GitHub, Confluence, S3)
• Define chunking, embedding, and retrieval strategies
• Design vector storage and retrieval architecture
• Architect tool-calling agent systems (MCP or equivalent)
• Define when to use: Direct API invocation, Lambda-based tools, MCP-based tool integration, Design and implement structured output agents
• Implement hallucination mitigation strategies
• Build evaluation pipelines for model quality and regression testing
• Optimize token usage and latency
• Define model routing strategies (cost vs quality)
• Implement guardrails and structured validation
• Work closely with DevOps to productionize AI services
• Mentor AI engineers and define AI engineering standards
• Define long-term GenAI roadmap and architecture patterns

We are looking for an AI-driven Full Stack Developer to join our team building next-generation healthcare infrastructure.
 

You’ll work on products focused on credentialing, compliance, staffing, provider workflows, and operational automation. We move fast, ship often, and use AI deeply across engineering and product workflows.

This is not a traditional engineering role. We are looking for builders with strong product thinking, ownership mentality, and experience working with modern AI tooling.
 

What we’re building

• AI-powered credentialing workflows
• Provider identity and compliance infrastructure
• Healthcare staffing and hiring tools
• Facility workflow systems
• Secure access and document management
• Intelligent automation for healthcare organizations
   

What you'll do

• Build full stack applications using PHP/Laravel and React/TypeScript
• Design scalable REST APIs and backend services
• Develop modern frontend architecture and reusable UI components
• Work with PostgreSQL and scalable data models
• Build asynchronous workflows using AWS SQS, RabbitMQ, or Kafka
• Contribute to AI-native automation and workflow systems
• Collaborate closely with product, design, and engineering
• Participate in architecture and technical decision-making
• Own features end-to-end, from idea to production
• Write clean, maintainable, production-ready code
• Help improve engineering standards and platform scalability
   

What we’re looking for

• 4+ years of full stack development experience
• Strong PHP and Laravel experience
• Strong React and TypeScript experience
• Experience building and integrating REST APIs
• Solid PostgreSQL knowledge
• Experience with asynchronous systems and queues
• Strong understanding of scalable architecture
• Comfortable working in fast-moving startup environments
• Strong ownership mentality and proactive mindset
• Product thinking, not just implementation skills
• Ability to move fast, learn quickly, and adapt constantly
• Strong problem-solving and communication skills
• English level B2+

We actively use Claude and AI-assisted engineering workflows every day. This is a core part of our development culture.

AI tools already cover much of routine engineering work. We are looking for engineers who can think critically, make product decisions, improve systems, and drive execution.

You should already have experience with:

• AI-assisted development
• agentic workflows
• AI-driven debugging and architecture
• rapid iteration using modern AI tools

Responsibilities may also include:

• designing UI components and product flows using AI tools
• improving UX and feature usability
• taking full ownership of features and delivery
   

Nice to have

• Experience with AWS infrastructure
• Experience with Python
• Experience building AI-enabled products
• Frontend performance optimization
• Experience with testing frameworks
• Understanding of accessibility and modern UI/UX practices
   

Why join us?

• Build technology that solves real healthcare problems
• Work on an AI-first platform with ambitious vision
• Influence architecture and product direction
• Work with a strong, mission-driven team
• Remote-friendly and flexible culture
• Opportunity to grow with a fast-scaling company

Voltra is the analytics layer for car dealerships, built on top of their existing DMS/CRM stack. We pull data from VinSolutions, ProMax, DealerTrack, CDK and surface the metrics that actually move the needle — close rate, BDC performance, lead source ROI, inventory aging. We are at 10 rooftops and have established Product Market Fit. Now is the time to scale.

We're hiring our first full-time engineering hire outside the founding team. You'll work alongside our lead engineer who owns 90% of the codebase today. Your job is to take that down to 50% within 3 months by owning features end-to-end, reviewing PRs, and breaking up the next-tier mega-modules so we can ship faster.

What you'll do (first 90 days):

• Own end-to-end features in our Next.js + Supabase dashboard (current size: ~135k LOC, 144 migrations)
• Review and approve PRs — close our review bottleneck
• Refactor the biggest pain files 
• Build new dealer-data integrations 
• Set up CI/CD if it isn't done yet (GitHub Actions: typecheck, lint, test, preview deploys)
• Write tests on the highest-risk surfaces

Domain: B2B SaaS / Automotive Retail (Dealership Analytics)

Why Join Us?

🔹 100% remote | 🌎 Global team | ⏳ Full-time
 

If you’re looking to work on cutting-edge AI products, solve challenging problems, and be part of a fast-moving, high-talent team, you’ll love it here.
 

Join NineTwoThree AI Studio, a remote-first product design, engineering, and marketing studio, founded in 2012 and based in Boston. We build AI-powered web and mobile apps for big brands and fast-moving startups.
 

You’ll work with really smart people—the kind of teammates who challenge you, push you forward, and make you better. We move fast and focus on getting things done.

We've been growing 20% every year for the last 5 years, which means there’s plenty of room for career growth and promotions. Our work speaks for itself—some of our customers found us through five layers of referrals. That’s how much people appreciate what we do.
 

We run on clear processes and strong leadership, so while we move quickly, we don’t do chaos. We do high-quality work, and we do it right.
 

We focus on products with a positive impact in various domains from sports and health, to logistics and nuclear. But if you're into gambling, adult entertainment, or crypto, we’re not your place.

We are looking for a Strong Junior QA Manual Engineer who is driven to create the best software possible.

What You’ll Do:

• Review documentation and analyze requirements;
• Plan and estimate testing activities;
• Design test plans, scenarios, scripts, and procedures;
• Report and document technical issues, report bugs and errors to development teams;
• Create test cases;
• Perform manual Functional, Regression, and Exploratory testing (Web, Mobile);
• Conduct post-release/ post-implementation testing;
• Monitor applications and software systems;
• Present findings to software development and business user teams;
• Effectively collaborate with team members to achieve the best results.
   

Who We’re Looking For:

• 1.5+ years of industry experience in QA or Software Engineering
• Good knowledge of the QA process, terminology, and methodology.
• Experience in manual testing of Web and Mobile Applications.
• Good understanding of testing processes, methodologies, and standards (test plan, test design, test case, checklist, SDLC);
• Experience in web testing (Rest API and Dev tools).
• Successfully completed QA courses;
• Autonomy and attentiveness;
• Desire to grow and work in a team; 
• Ability to prioritize their time and dynamically adapt to the team's needs.

• Upper-Intermediate level of English.

   

What We Offer:

• Annual paid vacation: 20 days-off per year during the first 3 years, further increasing to 25 days in later years.
• Paid sick leave, 10 national holidays and 2 company days-off.
• Well-being budget.
• Maternity/paternity leave.
• Accounting assistance.
• Reimbursement of expenses for professional development courses/certifications (up to 100% in agreement with the Manager).
• Hardware upon business needs.
• Strong positive engineering culture, a tightly-knit team of professionals with a good sense of humor.

What's The Process:

We value your time and ours and make the process fast and easy. 
Our interview process takes the following steps: interview with the HR, technical interview with the QA Team Lead and QA Manual Engineer, Offer.


Apply now and lead the next generation of AI-powered products.

About Tie

Tie is building the next generation of identity resolution and marketing intelligence. Our platform connects hundreds of millions of consumers across devices, browsers, and channels—without relying on cookies—to power higher deliverability, smarter targeting, and measurable revenue lift for modern marketing teams.

At Tie, AI is not a feature—it is a core execution advantage. We operate large-scale identity graphs, real-time scoring systems, and production ML pipelines that directly impact revenue, deliverability, and customer growth.

The Role

We are looking for a Senior AI / Machine Learning Engineer to design, build, and deploy production ML systems that sit at the heart of our identity graph and scoring platform. You will work at the intersection of machine learning, graph data, and real-time systems, owning models end to end—from feature engineering and training through deployment, monitoring, and iteration.

This role is highly hands-on and impact-driven. You will help define Tie’s ML architecture, ship models that operate at sub-second latency, and partner closely with platform engineering to ensure our AI systems scale reliably.

What You’ll Do

• Design and deploy production-grade ML models for identity resolution, propensity scoring, deliverability, and personalization
• Build and maintain feature pipelines across batch and real-time systems (BigQuery, streaming events, graph-derived features)
• Develop and optimize classification models (e.g., XGBoost, logistic regression) with strong handling of class imbalance and noisy labels
• Integrate ML models directly with graph databases to support real-time inference and identity scoring
• Own model lifecycle concerns: evaluation, monitoring, drift detection, retraining, and performance reporting
• Partner with engineering to expose models via low-latency APIs and scalable services
• Contribute to GPU-accelerated and large-scale data processing efforts as we push graph computation from hours to minutes
• Help shape ML best practices, tooling, and standards across the team

What You’ll Bring

Required Qualifications

• 5+ years of experience building and deploying machine learning systems in production
• Strong proficiency in Python for ML, data processing, and model serving
• Hands-on experience with feature engineering, model training, and evaluation for real-world datasets
• Ability to travel outside of Ukraine is a must
• Experience deploying ML models via APIs or services (e.g., FastAPI, containers, Kubernetes)
• Solid understanding of data modeling, SQL, and analytical workflows
• Experience working in a cloud environment (GCP, AWS, or equivalent)
• Experience with graph data, graph databases, or graph-based ML

• Familiarity with Neo4j, Cypher, or graph algorithms (community detection, entity resolution)

  Preferred / Bonus Experience

• Experience with XGBoost, tree-based models, or similar classical ML approaches
• Exposure to real-time or streaming systems (Kafka, Pub/Sub, event-driven architectures)
• Experience with MLOps tooling and practices (CI/CD for ML, monitoring, retraining pipelines)
• GPU or large-scale data processing experience (e.g., RAPIDS, CUDA, Spark, or similar)
• Domain experience in identity resolution, marketing technology, or email deliverability

Our Technology Stack

• ML & Data: Python, Pandas, Scikit-learn, XGBoost
• Graphs: Neo4j (Enterprise, GDS)
• Cloud: Google Cloud Platform (BigQuery, Vertex AI, Cloud Run, Pub/Sub)
• Infrastructure: Docker, Kubernetes, GitHub Actions
• APIs: FastAPI, REST-based inference services

What We Offer

• Competitive compensation, including salary, equity, and performance incentives
• Opportunity to work on core AI systems that directly impact revenue and product differentiation
• High ownership and autonomy in a senior, hands-on role
• Remote-first culture with a strong engineering and data focus
• Exposure to cutting-edge problems in identity resolution, graph ML, and real-time AI systems

• Clear growth path toward Staff / Principal IC roles

  What else:

• 4 weeks of paid vacation per year (flexible scheduling)
• Unlimited sick leave — we trust your judgment and care about your health
• US Bank Holidays off (American calendar)
• Remote-first culture and flexible working hours
• Flat structure, no micromanagement, and full ownership

• Opportunity to make a real impact during a critical growth phase

  Interview Process

• Recruitment Screening Call
• Test task in Hackerrank for 1h
• Technical deep dive Interview (1,5h)  in English

• Final interview with CTO in English

  Why Join Us?

• High-impact delivery leadership role during a critical period
• Real ownership and autonomy
• Opportunity to shape delivery across the entire engineering organization
• Exposure to SaaS, data, integrations, automation, and platform work
• Collaboration with global teams and vendors
• A strong product with real scale and momentum

Why This Role Matters

At Tie, your work will not live in notebooks or experiments—it will power production systems used by real customers at scale. You will help define how AI is embedded into the company’s core platform and play a key role in making machine learning a durable competitive advantage.

TL;DR

We're building AI workflow automation for B2B. Average pilot $15k–$30k, expansion into monthly retainer.

We're opening one vertical first: marketing agencies (35–200 people, US/EU). They have real pain around client reporting, content scale, RFP/proposal work, lead qualification — and they have budget.

We're hiring a founding sales partner to build the outbound motion with us from zero.

WHAT WE SELL

Not "AI will help your business." Specific workflows:

- Automated monthly client reporting (GA4 / Meta Ads / LinkedIn / SEMrush → branded report with insights)
- Proposal / RFP automation (old tenders in RAG → drafts of new ones in 30 min instead of 2 days)
- AI lead qualification for agency inboxes (who's real, who's tire-kicking)
- Content scale (brief → variants matched to client brand guidelines)
- Multi-account performance ops (repeating manual checks across client accounts)

Typical pilot: 3–6 weeks, $15k–$30k. After pilot — expansion to monthly retainer ($3k–$10k/mo) or a second workflow.

WHAT YOU'LL DO

- Outbound: cold email (Apollo Pro + Instantly Hypergrowth + Clay already in the stack), LinkedIn outreach, selective warm intros. CTO joins demos for technical questions; you own the relationship end-to-end.
- Discovery: 30-min call → find where the agency is actually bleeding → scope one workflow for a pilot. Not "sell what we have," but "find what they actually need."
- Closing: discovery → scoped proposal with CTO in the room → close → handoff to delivery.
- GTM feedback loop: you bring back objections, pricing pushback, best-performing hooks → we adjust the offer together. Two-person GTM iteration, not "run the script."

What you DON'T do: phone-based cold calling, conference travel, infinite CRM grooming, selling vapor features.

WHAT WE OFFER

- 10% of client Y1 revenue (pilot $25k → $2,500 one-time; +retainer $5k/mo → $500/mo × 12)
- + 5% residual Y2+ (as long as the client stays)
- Realistic OTE Y1: $100k–$150k. Y2 (if clients stick into retainer): $150k–$220k+
- 4 weeks PTO
- Full sales stack already paid for (Apollo Pro, Instantly Hypergrowth, Clay, LinkedIn Sales Nav, Lemlist)
- Direct work with two founders, no middle management
- Equity conversation after 6 months, if both sides see long-term

WHO WE'RE LOOKING FOR

Must-have:
- 3+ years B2B sales with full ownership of the cycle (not SDR-only)
- $10k+ ASP experience, deal cycles 2–12 weeks
- English: fluent in writing, confident on discovery / negotiation calls
- Sold into one of: marketing agencies, SaaS, B2B services, consulting, digital products
- Understands the difference between "closed a deal" and "closed a deal delivery can actually ship without crying"

Nice-to-have:
- AI, no-code or data automation in your portfolio
- Early sales hire at a 5–25 person startup
- Existing network in agency / SaaS space

What we DON'T require: technical background (we'll bring you up to speed), specific degree, specific location.

PROCESS

1. Reply → response within 24 hours
2. 30-min call with the GTM founder (sales / context)
3. 45-min call with both founders — real-case workshop: we show you a real prospect, you walk us through how you'd sell to them
4. Reference check (2 contacts whose deals you helped move)
5. Offer or a direct no — no ghosting, no "we'll be in touch"

Total: ≤ 10 days from reply to offer.

WHO WE ARE

Two technical co-founders. CTO with 10+ years shipping AI products end-to-end (RAG, agent workflows, LLM systems). Engineer-turned-business lead with 8+ years bridging code and revenue.

Site: maxodev.com

If you're reading this and already thinking "I'd sell this by doing X" — that's exactly the person we want. This isn't "join a rocket ship," it's "let's figure GTM out together, then build the rocket."

AI Engineer (LLM / RAG / Voice AI / Python)

📍 Remote 

💰 €4,000–€8,000

Company name: NDA (Cyprus)

We are an international fintech group operating multiple products across different GEOs, focused on micro-lending and proprietary payment solutions. All engineering and product development are fully in-house, with a strong internal tech team and long-term investment in engineering expertise.

The company is currently scaling rapidly, expanding into new markets, and growing its AI/Engineering function. The project has been operating for around 8 years, while the core IT team has been working together for 5–6 years.

The environment is fast-paced and highly dynamic, with minimal bureaucracy, quick decision-making, and flexible processes. This role is a great fit for engineers with a startup mindset who are comfortable working in rapidly evolving environments and taking ownership.

Responsibilities

• Develop AI chat systems working with real customer data (CRM, history, statuses)
• Build RAG systems using the company’s internal knowledge base
• Develop voice AI bots for inbound and outbound calls
• Integrate AI solutions with internal systems (CRM, ERP, APIs)
• Implement dialogue logic based on business scripts and workflows
• Analyze calls: transcription, quality assessment, script compliance monitoring
• Automate call-center processes and improve operator efficiency
• Optimize latency and stability of AI solutions in real-time environments
• Work with large-scale datasets (calls, chats, customer history)
• Develop and improve internal AI services

• Collaborate closely with Backend and DevOps teams

   

Requirements

• 4+ years of commercial experience
• Experience working with LLMs (OpenAI, Claude, LLaMA, or similar)
• Hands-on experience building production AI solutions
• Experience designing and implementing RAG systems
• Strong Python skills (FastAPI, async, API integrations)
• Experience with PostgreSQL
• Experience with RabbitMQ
• Understanding of real-time systems
• Experience with ASR (speech-to-text) and TTS (text-to-speech)
• Understanding of voice/chat AI pipeline architecture
• Experience with APIs and microservices architecture
• Experience with high-load systems

• Ability to work with business logic and real customer data

   

Nice to have

• Experience building voice bots (inbound / outbound)
• Experience in fintech / collections / call-center domains
• Experience with WebRTC / streaming
• Docker / Kubernetes

• Experience with call analysis and operator quality monitoring

   

What We Offer

• Remote-first environment
• Candidates across Europe and Ukraine are welcome
• Flexible timezone approach
• Cyprus-based employment option
• Fast-growing product environment
• Strong in-house engineering culture

The hiring process for this position includes an online AI-based polygraph stage immediately before the offer stage.