About The Position Automat-it is an all-in AWS Premier Partner and Managed Services Provider specializing in the startup ecosystem. With over 800 customers and 500+ AWS certifications, Automat-it brings hands-on expertise in AI, DevOps, and FinOps to empower fast-paced startups to grow, deliver & win. Our customers save significant time-to-market and optimize their cloud performance and costs.
We work across EMEA and the US, fueling innovation and solving complex challenges daily. Join us to grow your skills, shape bold ideas, and help build the future of tech.
We’re looking for an AI Engineer (Senior level or strong Middle) to join our team and work directly with startup’s Data Science and R&D teams. This is a hands-on, delivery-focused role where you will own projects end-to-end, from early design to production deployment.
The role is focused on building production-grade Generative AI systems on AWS, especially RAG pipelines, agent-based workflows, and LLM-powered backend services. This is not a pure research or model training role, it’s about designing and shipping reliable systems under real constraints.
Work location: remote from Ukraine.
Curious about what it’s really like to work at Automat-it? Explore our benefits, culture, and what success in your first year could look like here.
If you are interested in this opportunity, please submit your CV in English. Key Responsibilities * Build and deliver production-ready GenAI systems on AWS, including RAG pipelines, retrieval logic, and LLM-based services * Design and implement agent-based or multi-step workflows for real use cases (not just prototypes) * Work closely with Solution Architects, DevOps, and client teams to turn ideas and POCs into scalable systems * Deploy, monitor, and improve ML/LLM systems in production, focusing on performance, cost, and reliability * Work with AWS services such as Bedrock, OpenSearch, Lambda, S3, DynamoDB, SageMaker, and CloudWatch * Adapt existing ML or GenAI code into production environments when needed * Continuously improve system quality, including retrieval performance, output consistency, and evaluation approaches * Operate in a fast-paced, project-based environment where you may own a project as the main engineer
Requirements * Strong hands-on experience building and deploying AI / GenAI systems in production * Solid experience with AWS in real projects (not just Console usage), including working with services like Bedrock, OpenSearch, Lambda, S3, or similar * Experience building RAG systems in practice, including retrieval logic, vector databases, and output quality improvements * Experience working with LLM frameworks or tools such as Amazon Bedrock, OpenAI, LangChain, or LlamaIndex * Strong Python skills and a good understanding of backend system design * Experience designing multi-agent systems or more complex orchestration workflows * Experience with vector databases (OpenSearch, pgVector, Pinecone, etc.) * Comfort working in fast-moving environments with short project cycles (weeks to a few months) * Strong communication skills and ability to work directly with clients and cross-functional teams * Ability to clearly explain technical decisions, limitations, and trade-offs in English (written and spoken) * Experience with AWS Bedrock advanced features (e.g. Knowledge Bases, agent orchestration) — an advantage * Experience with Kubernetes, Docker, IaC Terraform and CI/CD pipelines — an advantage * Background in Machine Learning or Data Science (including model training or fine-tuning) — an advantage
Automat-it is committed to fostering a workplace that promotes equal opportunities for all. We firmly believe that cultivating a diverse workforce is crucial to our success. Our recruitment decisions are grounded in your experience and skills, recognizing the value you bring to our team.
