Jobs ML / AI

We're looking for someone who is genuinely excited about AI and wants to help others use it better.

At LITSLINK, we already have AI/ML engineers working on client projects. However, we're looking for a person who will help grow our AI expertise across the company, support client-facing activities, share knowledge internally, and become one of the key AI advocates within the organization.

This role sits at the intersection of AI, business, education, and consulting.

What You'll Do

• Participate in AI-related presales activities and client meetings
• Help clients identify opportunities where AI can create real business value
• Stay up to date with the latest AI trends, tools, frameworks, and technologies
• Organize internal AI workshops, demos, and knowledge-sharing sessions
• Help teams adopt AI tools and improve their workflows
• Research, test, and evaluate new AI products and approaches
• Collaborate with AI/ML engineers and help distribute knowledge across the company
• Support internal AI initiatives and contribute to the growth of our AI practice
• Mentor and support team members who are exploring AI technologies
   

What We're Looking For

• Strong interest in AI and emerging technologies
• Understanding of modern AI concepts such as LLMs, AI Agents, RAG, MCP, AI Automation, and related technologies
• Technical background and understanding of software development processes
• Excellent communication and presentation skills
• Ability to explain technical concepts to both technical and non-technical audiences
• Experience working with AI tools in practice
• Upper-Intermediate or higher English level
   

Nice to Have

• Experience participating in presales or discovery sessions
• Experience conducting workshops, trainings, webinars, or presentations
• Background in AI/ML, Business Analysis, Product Management, Solution Architecture, Technical Writing, or Consulting
• Experience in outsourcing or consulting environments
• Personal AI projects, public speaking, blogging, or community involvement
   

Why This Role Is Different
This is not a traditional AI Engineering position.
You won't spend all day training models or writing production code.
Instead, you'll help shape how AI is adopted across teams, support client conversations, explore new technologies, share knowledge, and help both colleagues and clients navigate the rapidly evolving AI landscape.

If you're the type of person who constantly tests new AI tools, follows industry updates, and enjoys helping others understand and use AI more effectively, we'd love to talk to you.

dNOVO Group is a leading digital agency based in Toronto. For over 15 years, we have helped businesses across Canada grow through professional web design, SEO, and digital marketing.

We are looking for an AI Website Designer & Builder to join our team. This role is ideal for someone who knows how to use AI tools to create modern, high-quality websites quickly and efficiently. This is not a traditional coding role. We are looking for someone who understands websites, design, WordPress, and AI-assisted workflows. Basic technical knowledge is helpful, but strong AI skills, good design taste, attention to detail, and common sense are most important.

Responsibilities

• Create modern, conversion-focused websites and landing pages
• Use AI tools to generate website layouts and design concepts
• Build and update websites using WordPress and other website platforms
• Create wireframes, page layouts, and visual concepts
• Work with tools such as ChatGPT, Claude, Lovable, Bolt, Cursor, Copilot, Framer, Webflow, or similar platforms
• Add and format website content, images, forms, buttons, and basic integrations
• Make websites responsive for desktop, tablet, and mobile
• Use AI tools to help troubleshoot website issues and improve pages
• Optimize websites for user experience, SEO basics, speed, and conversions

Required Skills

• Strong experience using AI tools for website creation
• Experience with WordPress or similar website builders
• Good understanding of modern website design and UX/UI basics
• Ability to create clean, professional, conversion-focused layouts
• Experience with Figma, Canva, or similar tools is an asset
• Ability to use AI tools to solve problems and work independently
• Strong attention to detail
• Good English communication skills
• Common sense, reliability, and good judgment

To apply, please submit:

• Your CV
• Portfolio of recent website projects
• A brief description of the AI tools you use in your workflow
• Your expected monthly salary

The best way to have an exciting and unique experience at sports and music events is with official hospitality packages and VIP tickets.

The product company is searching for an AI Engineer for a full-time remote.
It's a trusted online marketplace where fans can buy and sell official hospitality packages and VIP tickets to live sports, music, and cultural events.

You’ll help shape the future of customer-facing AI applications, from conversational sales agents to real-time support copilots, transforming how fans discover, explore, and purchase unforgettable live event experiences.

The company has:
— Excellent rating on Trustpilot (4.9),
— Partnerships with the best clubs, venues, and artists,
— Traffic of around 280K monthly unique users per month and growing fast,
— Currently focused on the UK market, but poised to enter European markets in the near future.

Must have experience in Python development, experience in developing and deploying custom LLM agents, experience with MCP and RAG.

appflame — Ukrainian product-driven tech company building world-class products: Hily, Taimi, AdConnect, Mailkeeper, and more.

About us:

• 7 years in the market, 500+ team members, offices in Kyiv, London, Limassol, and a co-working hub in Warsaw.
• In 2025, appflame ranked 5th among the top 50 employers in Ukraine according to Forbes and won the “Best Place for Growth” award.
• Our apps Hily and Taimi are among the top 5 dating apps in the US with over 70 million users. AdConnect and Mailkeeper focus on building proprietary B2B and B2C solutions.

Our mission:

• To put Ukrainian-built products on the global map.

Our goals:

• Break into the global top 5 product companies.
• Become a unicorn.
• Make Ukraine a country where unicorns are born.

We’re looking for bold, driven people who are passionate about building real products and dream of launching and scaling great startups. You bring the ambition — we provide the environment to make it happen.
 

What you’ll do:

• Design and develop an AI-powered productivity analytics platform — from data pipeline architecture to the final analytical product that helps teams make data-driven decisions.
• Build scalable LLM pipelines (Claude, GPT): develop data chunking strategies, implement MapReduce approaches for parallel processing of large datasets, and synthesize results into structured reports and insights.
• Create a meta-workflow system where LLMs generate, test, and deploy automation scripts in an isolated environment — with automatic self-correction loops and production deployment without manual intervention.
• Develop system-level prompt engineering: build and maintain a library of prompt templates for various analytical scenarios — from summaries and profiles to deep performance analysis.
• Build an evaluation framework for AI output quality control: hallucination detection, consistency scoring, regression tests — ensuring the product delivers reliable and reproducible results.
• Scale the platform to new domains and analysis types without linear growth in manual effort — through an architecture that allows adding new modules via configuration, not code.
• Document AI architecture, define automation specs, and present product insights to stakeholders and clients.
   

It’s a match if you have:

• 2+ years of experience working with LLMs in production: prompt engineering, pipeline development, API integration — with at least 1 year of hands-on experience with advanced features (tool use, structured outputs, agents).
• Strong Python skills (async, dataclasses, type hints, API integrations) and a commitment to writing clean, testable, and maintainable code.
• Understanding of MapReduce patterns for LLM processing: ability to choose chunking strategies, organize parallel processing, and aggregate results into a cohesive analytical product.
• Experience building agentic systems: tool use, self-correcting loops, multi-agent workflows — and the judgment to know when an agent works better than a rigid pipeline.
• Proficiency in SQL and experience working with analytical databases.
• English at C1 level — comfortable reading documentation, writing technical specs, and communicating asynchronously.
• Ownership mentality: you take tasks end-to-end, debug production issues independently, and iterate to deliver results without micromanagement.
   

Nice to have:

• Experience with orchestration/automation platforms (Windmill, Dagster, Prefect) — understanding how to build reliable automated workflows.
• Knowledge of RAG architectures, vector databases, and embedding pipelines — ability to build systems that work with large volumes of unstructured data.
• Experience building evaluation systems for LLMs (LangSmith, PromptFoo, or custom solutions) — understanding how to measure and improve AI product quality.
• Familiarity with Databricks / Delta Lake or Snowflake — experience working with modern data platforms.
• Experience working at product-driven tech companies or AI startups where you needed to build and iterate quickly.
• Understanding of product team metrics (DAU, retention, unit economics) and the ability to connect technical decisions to product impact.
   

Preferred tech stack:

Core:

• Languages: Python (primary), SQL
• LLM APIs: Claude API (Anthropic), OpenAI API
• Databases: PostgreSQL, ClickHouse
• Infrastructure: Docker, Git, FastAPI, Pydantic, pytest, asyncio

Nice to have:

• Languages: TypeScript/JavaScript, Bash
• LLM APIs: Google Gemini API
• Orchestration & Automation: Windmill, Dagster, Prefect, Airflow, Temporal
• RAG & Embeddings: LangChain, LlamaIndex, ChromaDB, Pinecone, Weaviate, pgvector,FAISS
• Eval & Observability: LangSmith, PromptFoo, Weights & Biases, Arize AI
• Databases: Redis, MongoDB
• Data Platforms: Databricks, Delta Lake, Snowflake, BigQuery
• Infrastructure: Kubernetes, AWS (Lambda, SQS, S3), GCP
• CI/CD & DevOps: GitLab CI, GitHub Actions, Terraform

Hiring process: recruiter outreach > interview > test task > final interview > job offer.

About the company: United Tech is a global IT product company shaping the future of real-time social connection. With millions of users across North America, Europe, LATAM, and MENA, we build next-gen mobile and web apps for live-streaming and social networking. Our platforms enable connection at scale fast, interactive, and deeply engaging. The market is projected to exceed $206B by 2030, and we are already leading the evolution. Founded in Ukraine, scaling worldwide
 

About your role: We’re looking for an AI Engineer who wants to build production-grade AI systems, not just experiment with demos. This is a high-ownership, greenfield role where you’ll help build our AI platform from scratch, working directly with the Head of AI.  You’ll own initiatives end-to-end — from discovery and architecture decisions to production delivery — and play a key role in shaping how AI is used across the company.

You’ll work with a modern AI stack including Claude/OpenAI/Bedrock, RAG pipelines, eval frameworks (Promptfoo, Ragas, LangSmith), and agentic patterns. This role is ideal for someone who enjoys autonomy, strong engineering ownership, and proactively identifying the next highest-leverage opportunity to drive into production.

In this role, you will:

• Design and build RAG and automation workflows inside our VPC environment.
• Create integrations across engineering, communication, and knowledge-management systems (Jira, Confluence, Slack, Google Drive, Git).
• Develop AI-powered pipelines for code quality checks, ticket auto-classification, documentation updates, release notes, and meeting summaries.
• Work on prompt engineering, model selection and routing (Haiku / Sonnet / Opus), and workflow optimization.
• Build evaluation and regression frameworks for AI workflows to prevent model-upgrade regressions.
• Create lightweight dashboards for engineering leads to surface delivery patterns and bottlenecks.
• Own initiatives end-to-end: scope → design → ship → measure → iterate.

It’s all about you:

• 5+ years of production experience with Python (services, async, API integrations, clean and testable code).
• Hands-on experience with LLM APIs in production: Anthropic Claude (Opus/Sonnet/Haiku), OpenAI, AWS Bedrock.
• Strong understanding of RAG systems: chunking, embeddings, hybrid search, re-ranking, grounding/citations.
• Prompt engineering + structured outputs + tool/function calling.
• Experience with eval/regression frameworks: Promptfoo, Ragas, LangSmith, or custom evaluation harnesses.
• Agentic patterns: ReAct, function-calling loops, fallbacks.
• Vector databases: pgvector, Pinecone.
• Workflow orchestration: n8n, Airflow, or custom orchestration systems.
• Observability: token-spend tracing, latency monitoring, model routing.
• Solid AWS fundamentals: IAM, Lambda, S3, CloudTrail — comfortable deploying inside VPC environments independently.
• CI/CD + pipeline hooks (GitLab/GitHub), webhooks, event-driven architectures.
• Basic SQL skills for analytical queries and metrics dashboards.
• Driver mindset: proactively identifies the highest-leverage opportunity and drives it to production
• B2 English level

Would be a plus:

• Real REST integrations with 2–3+ APIs
• Experience with workflow orchestration tools.
• Prompt evaluation tooling such as  LangSmith is nice to have
• Experience with Docker
• RAG experience: embeddings and vector stores (pgvector, Pinecone, or similar) for knowledge base use cases

What we offer

Care and support: 

• 20 paid vacation days, 15 sick days, and 6 additional days off for family events
• Up to 10 additional days off for public holidays
• 100% medical insurance coverage
• Sports and equipment reimbursement
• Team building events, corporate gifts, and stylish merch
• Financial and legal support
• Position retention and support for those who join the Armed Forces of Ukraine
• Participation in social initiatives supporting Ukraine
   

Comfortable working environment:

• Work from our Kyiv hub or remotely with a flexible schedule 
• Modern equipment or depreciation of your own tools
   

Investment in your future:

• Collaborate with a highly-skilled team of Middle & Senior professionals, sharing practical cases and expertise in the social networking niche
• 70% of our heads and leads have grown into their roles here – so can you!
• Performance-oriented reviews and Individual Development Plans (IDPs)
• Reimbursement for professional courses and English classes
• Corporate library, book club, and knowledge-sharing events
   

Hiring process:

• Intro call
• Technical Interview
• Final Interview
• Reference check
• Offer

This organization specializes in developing advanced healthcare technology solutions designed to enhance patient safety and operational efficiency. It provides a robust platform that leverages biometric identification to ensure accurate patient record linkage, thereby mitigating risks associated with medical identity management. The focus is on delivering secure, compliant, and productivity-improving systems for healthcare providers. These solutions are crucial for eliminating duplicate medical records, preventing identity theft, and safeguarding against insurance fraud within the healthcare ecosystem. The company is committed to transforming patient care through innovative, cloud-based software-as-a-service offerings.

Requirements

• Possess 5-8 years of progressive experience in software development, specifically focusing on designing and building enterprise-grade applications within a professional setting.
• This role requires a full-time commitment to working on-site at our Lviv location, fostering direct collaboration and team engagement within the office environment.

Required Skills:

• Demonstrated advanced expertise in Artificial Intelligence (AI) concepts and their practical application in enterprise software solutions.
• Agentic AI, Codex/GitHub Copilot/Claude Code
• Possess advanced proficiency and hands-on experience with the .NET framework, including C# for developing robust and scalable applications.
• Proven ability to design and implement AI-enabled enterprise applications, demonstrating comprehensive understanding of software architecture.
• Strong proficiency in modern frontend development frameworks such as Angular or React, enabling the creation of intuitive user interfaces.
• Extensive experience working with leading cloud platforms, specifically AWS or Azure, for deploying and managing scalable applications.
• Mandatory experience with containerization and orchestration technologies, including Docker, Kubernetes, and Helm, for efficient application deployment.
• Solid understanding and practical application of DevOps practices and tools to ensure continuous integration and streamlined deployment pipelines.
• Expertise in designing, querying, and optimizing relational databases such as MS SQL Server or Postgres for high-performance data management.
• Demonstrated leadership experience, including the ability to mentor junior developers and effectively lead technical initiatives.
• Exceptional written and verbal communication skills, crucial for effective interaction with internal teams, external customers, and partners.

Job responsibilities

• Design and develop robust, scalable AI-enabled software features for patient access solutions, ensuring high performance, reliability, and business impact.
• Implement complex AI-powered software modules and enterprise application components using C# and .NET, adhering to best practices and coding standards.
• Contribute to the architectural design and evolution of cloud-native applications, focusing on scalability and security.
• Lead the integration of new features into existing systems, ensuring seamless functionality and data integrity.
• Collaborate actively within an agile Scrum team to define, plan, and execute software development cycles from inception to deployment.
• Ensure the developed systems are highly scalable and capable of supporting the demanding requirements of large healthcare organizations.
• Conduct thorough research and analysis to devise innovative solutions for complex challenges related to patient identity management.
• Propose and evaluate technical solutions, considering trade-offs and long-term system implications.
• Mentor and provide technical guidance to junior developers, fostering their growth and ensuring adherence to technical standards.
• Drive the adoption of best practices in software development, including code reviews, automated testing, and continuous integration.
• Optimize application performance and troubleshoot complex issues across various system components.
• Participate in cross-functional discussions with product management, QA, and UX teams to translate requirements into technical specifications.
• Ensure comprehensive documentation of designs, implementations, and operational procedures.

About us:

EveryMatrix is a leading B2B SaaS provider delivering iGaming software, content and services. We provide casino, sports betting, platform and payments, and affiliate management to 200 customers worldwide.

But that's not all! We're not just about numbers, we're about people. With a team of over 1000 passionate individuals spread across twelve countries in Europe, Asia, and the US, we're all united by our love for innovation and teamwork.

EveryMatrix is a member of the World Lottery Association (WLA) and European Lotteries Association. In September 2023 it became the first iGaming supplier to receive WLA Safer Gambling Certification. EveryMatrix is proud of its commitment to safer gambling and player protection whilst producing market leading gaming solutions.

Join us on this exciting journey as we continue to redefine the iGaming landscape, one groundbreaking solution at a time.

We are looking for a passionate and dedicated AI Engineer to join our team in Lviv!

About the job:

We’re looking for an AI/ML Engineer to support and build AI-powered solutions that enhance automation, analytics, and intelligent workflows across our products. You’ll work with modern LLMs, AI agents, retrieval systems, and scalable backend services, taking ideas from prototype to production in a fast-moving environment and building scalable solutions in a high-impact domain. The ideal candidate for us has strong software engineering fundamentals, practical experience with generative AI systems, and hands-on experience building robust pipelines and production-grade solutions.

What You'll get to do:

• Design, develop, and deploy AI-powered applications and services.
• Integrate LLMs and AI APIs into production systems.
• Build and optimize RAG pipelines, embeddings workflows, and vector search solutions.
• Develop AI agents and workflow automation systems.
• Work with structured and unstructured data for AI-driven use cases.
• Collaborate with Data Engineers and Backend Engineers on scalable infrastructure.
• Monitor AI system performance, quality, latency, and cost efficiency.
• Experiment with prompt engineering, fine-tuning, and model evaluation techniques.
• Participate in architecture discussions and contribute to technical decision-making.

What You need to know:

• Degree in Computer Science, Mathematics, Engineering, or equivalent field.
• 3+ years of hands-on experience in applied AI-engineering.
• Strong programming skills in Python.
• Experience working with LLMs and modern AI frameworks such as LangChain, LlamaIndex, or similar.
• Understanding of RAG architectures, embeddings, vector databases, and semantic search.
• Experience integrating external APIs and cloud-based AI services.
• Knowledge of REST APIs, microservices, and scalable backend architectures.
• Familiarity with Docker, CI/CD, and cloud platforms, especially GCP.
• Strong problem-solving skills and ability to work independently.
• Interest in AI automation, intelligent systems, and applied generative AI solutions.
• Experience in Python backend engineering will be a plus.
   

Here's what we offer:

• Start with 22 days of annual leave, with 2 additional days added each year, up to 32 days by your fifth year with us.
• 3 sick leave days per year, no doctor's note required; 30 medical leave days with medical allowance
• Hybrid work schedule is available after the first three months of employment with 80/20 office/home format until the end of 2026. Starting from 2027, the policy will transition to primarily office-based work, with up to 10 work-from-home days per year with manager approval.
• Benefit from two Free Fridays each year, limited to one per quarter.
• Daily catered lunch or monthly lunch allowance. 
• Private Medical Subscription. 
• Access online learning platforms like Udemy for Business, LinkedIn Learning or O’Reilly, and a budget for external training.
• Gym allowance.
• Corporate English lessons.
• Support for New Parents:
• 21 weeks of paid maternity leave, with the flexibility to work from home full-time until your child turns 1 year old.
• 4 weeks of paternity leave, plus the flexibility to work from home full-time until your child is 13 weeks old.

Our office perks include on-site massages and frequent team-building activities in various locations.

At EveryMatrix, we're committed to creating a supportive and inclusive workplace where you can thrive both personally and professionally. Come join us and experience the difference!

Шукаємо AI Developer в команду — людину, яка реально розуміється в AI agents, automation та інтеграціях, а не просто користується ChatGPT 🙂

Що потрібно:
— Python або JavaScript
— Claude/OpenAI API
— function calling / tools
— AI workflow, automation
— API integrations, webhooks

Задачі:
— AI агенти
— автоматизація процесів
— integrations з CRM та сервісами
— backend логіка

Буде плюсом:
n8n / Make / Zapier, multi-agent systems, MCP

Робота remote, фултайм

Є тестове, але адекватне — більше на логіку та вміння швидко зібрати working solution.
 

We are looking for a Senior AI/ML Engineer to join our team!

Our client is an innovative technology division within one of the world's top-10 copper producers. The team focuses on leveraging AI, machine learning, and advanced analytics to optimize industrial operations, improve asset reliability, and support data-driven decision-making across global mining and production facilities. The role is focused on building intelligent solutions for predictive maintenance, anomaly detection, and asset performance optimization, helping reduce downtime and improve operational efficiency across large-scale industrial environments.

Responsibilities:

• Design, develop, and deploy machine learning models for predictive maintenance, anomaly detection, and asset health monitoring.
• Build and maintain production-grade ML pipelines for time-series forecasting and sensor/telemetry data processing.
• Collaborate with Data Engineers and Analytics Engineers on data preparation, feature engineering, and model integration.
• Integrate model outputs, risk scores, and predictive insights into operational dashboards and business applications.
• Establish and maintain MLOps processes, including model deployment, monitoring, retraining, and drift detection.
• Research and evaluate new AI/ML approaches, tools, and technologies to improve predictive capabilities and business outcomes.
• Work closely with business and technical stakeholders to translate complex analytical results into actionable recommendations.

Requirements:

• 5+ years of experience as a Machine Learning Engineer or Data Scientist.
• Strong Python skills and hands-on experience with Pandas, NumPy, Scikit-Learn, SciPy, and related ML libraries.
• Proven experience with time-series forecasting and predictive modeling techniques (ARIMA, Prophet, XGBoost, LSTM/RNN, etc.).
• Experience working with telemetry, IoT, sensor, or equipment performance data.
• Hands-on experience with Azure Machine Learning, Databricks, MLflow, or similar MLOps platforms.
• Strong SQL skills and experience working with both relational and non-relational databases.
• Experience building and deploying production-ready ML solutions.
• Strong analytical and problem-solving skills with the ability to translate technical insights into business value.

Nice to have:

• Master's or PhD degree in Data Science, Statistics, Engineering, Mathematics, Operations Research, or a related quantitative field.
• Experience in mining, manufacturing, heavy industry, utilities, or other asset-intensive domains.
• Knowledge of Operational Technology (OT) environments and reliability engineering concepts.
• Experience with enterprise asset management systems such as SAP PM or IBM Maximo.
• Familiarity with reliability methodologies such as RCM or FMEA.
• Experience with real-time data processing and anomaly detection on streaming platforms (Kafka, Azure Stream Analytics, etc.).

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

*not applicable for freelancers

About the Role

We're building AI-powered products and we need someone who can work across the full stack without needing a handoff at every layer. This role spans backend services, AI orchestration, real-time voice systems and frontend interfaces. You'll own features from design to deployment and be expected to debug issues that cut across all of them.

If your experience is limited to a single layer of the stack, or your AI exposure hasn't gone beyond side projects, this role isn't the right fit.

What You'll Do

• Design and build backend services and APIs using Node.js and Python
• Build and operate AI workflows using LangChain and LangGraph for orchestration, chaining and agent logic
• Use LangSmith for tracing, evaluation and debugging of AI pipelines in production
• Integrate real-time voice capabilities using LiveKit and related voice AI infrastructure
• Build frontend interfaces using React and Next.js that are fast, reliable and handle streaming AI responses cleanly
• Own features end to end from initial design through deployment, monitoring and iteration
• Handle async workflows, background jobs and real-world failure scenarios
• Set up logging, tracing and alerting so production issues surface before users report them
• Debug problems that span frontend, backend, AI pipelines and infrastructure simultaneously
• Work with product to turn vague requirements into well-scoped, shipped features
• Review code and maintain technical standards across the team

What You'll Need

• 5+ years of professional software engineering experience in production environments
• Strong hands-on experience with Node.js and Python at production scale
• Demonstrated experience building AI workflows using LangChain, LangGraph or comparable frameworks
• Working knowledge of LangSmith or equivalent tooling for AI observability and evaluation
• Experience building and operating backend APIs used by real users
• Solid experience with React and Next.js or equivalent frontend frameworks
• Strong understanding of async programming, streaming (SSE/WebSocket) and frontend state management
• Experience with MongoDB or similar document stores including data modelling trade-offs
• Comfort deploying and operating services on AWS, GCP or equivalent cloud environments
• Ability to debug across frontend, backend and AI layers using logs, traces and metrics

Good to Have

• Hands-on experience with LiveKit or other real-time voice and audio pipeline systems
• Prior work on conversational AI, voice agents or multi-modal AI products
• Experience with RAG pipelines, LLM evaluation or fine-tuning workflows
• Background in a fast-moving startup or high-velocity product environment

What We Expect

• You take ownership of what you build and don't wait for someone else to fix broken things
• You understand trade-offs and can communicate them clearly to non-engineers
• You think in systems, account for failure modes early and design for graceful degradation
• You leave code and documentation in better shape than you found it

What You'll Get

• End-to-end ownership of features that ship to real users
• Direct influence over technical and architectural decisions
• Work on systems that are used daily by real users
• A small team where your contributions have visible product impact

Our client is a Barcelona-based iGaming company specializing in the development of online slot games for international markets. With a catalogue of 150+ titles and a steady release pace of 3–4 new games per month, they combine creative vision with strong technical expertise.

We are looking for an ML Tech Lead to serve as the technical authority within the ML team. This is a hands-on leadership role focused on architecture, technical decision-making, and the development of AI solutions powered by LLMs, RAG, and AI agents.

What You'll Do:

• Design and evolve LLM architectures, including RAG, multi-agent systems, tool-calling, and memory frameworks.
• Build and optimize semantic and hybrid search solutions using embeddings, pgvector, and reranking techniques.
• Develop pipelines for processing, validating, and structuring Game Design Documents (GDDs).
• Create prompt engineering strategies, evaluation frameworks, and AI guardrails.
• Integrate local and cloud-based LLMs through Ollama and OpenAI-compatible APIs.
• Design and maintain fault-tolerant, production-grade AI services.
• Contribute to the development of AI capabilities, including future automated TypeScript code generation.
• Lead technical discussions, architecture decisions, and code reviews.
• Define engineering standards, best practices, and quality benchmarks for AI development.
• Implement monitoring for model quality, latency, reliability, and infrastructure costs.

• Support and mentor engineers through technical guidance and knowledge sharing.

   

Required skills:

• 3+ years of commercial software development experience.
• Strong Python 3.10+ expertise.
• Hands-on experience with FastAPI, async programming, and type-safe development.
• Solid SQL and PostgreSQL knowledge, including schema design, indexing, window functions, and materialized views.
• Experience building integrations with third-party SaaS APIs, webhooks, and ETL pipelines.
• Practical Docker experience, including multi-stage builds and Docker Compose.
• Understanding of logging, monitoring, and production operations.
• Experience using AI-assisted development tools such as Cursor, Claude Code, GitHub Copilot, or similar.
• Strong system design, architecture, and problem-solving skills.

• Proficiency in Russian/Ukrainian.

   

Сompanу offer:

• Engage in a unique international web project, gaining valuable experience.
• 20 vacation days and 5 sick days yearly.
• Flexible start to the workday.
• Experience a dynamic work environment that avoids monotony.
• Opportunities for professional growth and advancement.

Responsibilities:
• Work closely with different departments (Marketing, Sales, HR, Finance, etc.) to understand their workflows and identify opportunities to improve efficiency using AI tools.
• Analyze existing processes and propose automation or AI-assisted solutions.
• Implement AI-powered automations using available tools (LLMs, workflow automation platforms, data tools, etc.).
• Build and maintain internal AI workflows, prompts, and integrations.
• Train and support team members in using AI tools in their daily work.
• Monitor performance of implemented automations and continuously improve them.
• Document AI workflows, best practices, and internal guidelines.

Requirements:
• Strong curiosity about AI and automation and motivation to continuously learn.
• Basic understanding of AI tools (e.g. LLMs, automation platforms, data tools) and how they can be applied in business processes.
• Analytical mindset and ability to break down workflows and identify inefficiencies.
• Basic technical skills (e.g. working with APIs, automation tools, spreadsheets, or scripting is a plus).
• Experience in operations, data analysis, product, or technical roles is a plus.
• Ability to communicate with both technical and non-technical teams.
• Problem-solving mindset and willingness to experiment with new tools.
• Self-driven and proactive approach to identifying improvement opportunities.

Nice to Have:

• Experience with automation tools (Zapier, Make, n8n, etc.).
• Experience with prompt engineering and LLM-based workflows.
• Basic knowledge of Python, SQL, or data analysis.
• Experience implementing internal tools or process improvements.

We offer:
• Convenient work schedule (8/9/10/11 — 17/18/19/20);
• 21 working days of vacation;
• 10 working days of sick leave;
• Extra days off for birthday, wedding, etc and for public holidays;
• Payment for training;
• Financial and intangible gifts from the company;
• Free communication, the ability to influence processes and implement your ideas;
• Comfortable and easy management, no tyranny.

How We Hire:
We’re not here to make you jump through flaming hoops (unless that’s your hobby — in which case, we’ll cheer you on). Our goal is to see if we’re a good match for each other — and to make sure you enjoy the ride.

1. Pre-Screen Call — 30 min
A quick hello with one of our recruiters. We’ll talk about your background, your goals, and what you’re looking for. In return, we’ll tell you more about ABXplay, the role, the team, and answer any burning questions.
2. Hard Skills Interview — 30–60 min
You’ll meet your potential manager. We’ll dive into the real stuff — your future responsibilities, the challenges ahead, and the kind of work you’d actually be doing (no mystery here).
3. The Offer Stage

On behalf of our client, we are looking for a Lead Back-End Engineer (AI Research).

About the Product

The team is building AI systems that combine scalable knowledge graphs with advanced reasoning agents to navigate and understand complex knowledge domains with scholarly precision.

You will work closely with AI researchers and domain experts, helping transform research-grade AI systems into production-ready distributed platforms.

Responsibilities:

- Architect and implement scalable backend services and multi-tenant SaaS infrastructure

- Design and operate high-throughput data pipelines, both batch and streaming

- Build APls and services that integrate LLM inference, retrieval systems, and knowledge graphs

- Productionize research-grade Al systems into reliable, well-engineered distributed systems

Requirements:

- 7+ years of backend engineering experience

- A track record of leading the design and delivery of complex, user-facing products (consumer or B2B)

- Strong proficiency in Python

- Deep understanding of distributed systems and cloud-native environments

- Hands-on experience architecting, building, and deploying Kubernetes-based systems

- Hands-on experience with LL systems (RAG, model serving, evaluation)

- Experience in early-stage startups or fast-moving environments - ideally having built products from 0 to 1

- Fluent English

Nice to Have:

- Go and/or Scala experience

- Familiarity with knowledge graphs, vector databases, or hybrid retrieval architectures

- An MS in Computer Science

Company offers:

- Fully remote work

- Reasonably flexible schedule

We are a British—Ukrainian air defence tech company building distributed systems across the frontline. We are looking for a Senior AI Platform Engineer to take ownership of the data and ML infrastructure behind our current and future inference products.

Our core value is impact for Ukraine: we build technology that makes a real difference on the actual battlefield, not in labs or on paper specs. We operate with a deep-tech mindset, pushing new technologies where engineering rigor truly matters. We value ownership and responsibility—people who execute, deliver, and stand behind the results.

What you’ll do

• Build production-grade data collection, labeling, and dataset curation pipelines for inference models, with especial focus on CV models
• Design workflows for annotation, quality control, and continuous dataset improvement
• Set up model deployment, experiment tracking, versioning, and monitoring
• Support & optimize training and inference runtime pipelines in production environments
• Help run experiments, evaluate results, and improve system performance
• Help define the architecture and engineering standards for ML infrastructure across product lines

Requirements:

• Strong MLOps experience building data pipelines, labeling workflows, model deployment & production optimization, experiment tracking, and orchestration
• Background in Machine Learning / Computer Vision and experience with popular ML frameworks
• Ability to be involved in research process: help experiment, evaluate, deploy, improve
• Strong analytical thinking and solid foundations in linear algebra, probability, and statistics
• English: B1 or higher (working w/ international team members)

Nice to Have

• Experience in DefenseTech, SigInt, or embedded systems
• Understanding of RF-related data or sensor-driven ML systems
• Experience with real-time or low-latency ML pipelines
• Background in active learning, human-in-the-loop labeling, or continuous retraining workflows

We Offer

• Meaningful and high-impact work in the AIR defense domain
• Practical R&D environment with real autonomy
• Direct influence on technical decisions and the product direction
• Work in an experienced senior engineering team
• Сlear, fast, senior-to-senior communication with a minimum number of team meetings
• Remote, hybrid or offline Full-time position with office in the center of Kyiv

AI Systems Engineer (LLM / Agents / RAG)

Remote | Full-time | Flexible Schedule

Our client is looking for a strong AI Systems Engineer to help design and build production-grade AI infrastructure, agent-based systems, and workflow automation.

You’ll work directly with the Head of AI on building the company’s internal AI ecosystem: multi-agent systems, RAG pipelines, AI-powered analytics, automation workflows, integrations, and operational AI tooling.

This role is ideal for someone who enjoys building real AI systems end-to-end — not just experimenting with prompts, but designing scalable architectures and shipping production-ready solutions.

Responsibilities

• Design and develop production AI/LLM systems
• Build agent-based workflows and multi-agent orchestration systems with memory, routing, and tool usage
• Develop end-to-end RAG pipelines and knowledge base systems:
  • ingestion
  • chunking
  • embeddings
  • retrieval
  • vector databases
  • citation tracing
  • hallucination mitigation
• Build AI-powered workflow automation for marketing, analytics, operations, and reporting
• Integrate LLM systems with CRMs, APIs, external platforms, and internal tools
• Develop integrations using REST APIs, webhooks, and third-party services
• Participate in building unified analytics and attribution systems across multiple channels and platforms
• Support creative/content AI pipelines (image/video generation workflows)
• Improve reliability, observability, latency, and cost-efficiency of AI systems
• Deploy and maintain AI systems in production environments
• Work closely with the Head of AI on architecture and AI ecosystem development

Requirements

• 2+ years of hands-on experience building production AI/LLM systems (not educational or pet projects)
• Strong Python skills
• Experience building production backend systems and integrations
• Practical experience with:
  • agent orchestration frameworks (LangGraph-class frameworks)
  • tool/function calling
  • structured outputs
  • guardrails
  • multi-agent systems
• Strong understanding of RAG systems and retrieval pipelines
• Experience with vector databases:
  • Pinecone
  • Qdrant
  • pgvector
• Experience with PostgreSQL and data-layer architecture
• Understanding of:
  • embeddings
  • chunking strategies
  • retrieval quality
  • citation tracing
  • hallucination mitigation
• Experience with workflow automation tools:
  • n8n
  • Make
  • Zapier
  • or similar
• Basic LLMOps understanding:
  • evals
  • observability (Langfuse-class tooling)
  • latency optimization
  • cost optimization
  • fallback model chains
• Experience working with OpenAI and/or Anthropic Claude APIs
• Understanding of MCP (Model Context Protocol)
• Experience with REST APIs, webhooks, and external integrations
• English level: B1+

Nice to Have

• Experience with AI automation for marketing, analytics, or operations
• Experience with e-commerce ecosystems:
  • Shopify
  • Amazon
  • TikTok Shop
  • marketplace analytics
• Experience with attribution or marketing analytics systems
• Experience with image/video generation workflows or ComfyUI
• Understanding of privacy/compliance concepts (CCPA-class requirements)
• Portfolio or GitHub with production AI projects

What Matters in This Role

• Strong ownership mindset
• Ability to translate business problems into working AI architectures
• Production-oriented engineering mindset
• Ability to work independently in async environments
• Focus on measurable and reliable AI systems rather than experimental demos

We Offer

• Fully remote work from anywhere
• Flexible schedule
• Direct collaboration with the Head of AI
• Modern AI stack and real production AI challenges
• High ownership and technical freedom
• Paid vacation and sick days