AI Engineer

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.

Were looking for an AI Engineer (Senior level or strong Middle) to join our team and work directly with startups 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 its about designing and shipping reliable systems under real constraints.

Work location: remote from Ukraine.

Curious about what its 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.

• Build and deliver production-ready GenAI systems on AWS including Amazon Bedrock AgentCore RAG systems intelligent document processing voice AI and LLM-powered services.
• Design and implement AI agents using Amazon Bedrock AgentCore AWS Strands MCP and modern orchestration frameworks for real customer solutions.
• Work closely with Solution Architects DevOps and customer teams to turn discovery workshops ideas and POCs into production-ready AI systems.
• Evaluate and select the most appropriate LLMs based on accuracy latency cost and customer requirements.
• Build reusable AI components and deployment patterns that accelerate future customer projects.
• 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
• Strong hands-on AWS experience beyond model invocation including infrastructure IAM serverless services networking storage monitoring and production deployments using Amazon Bedrock.
• Experience building RAG systems in practice including retrieval logic vector databases and output quality improvements
• Strong understanding of modern LLM ecosystems including commercial and open-source models their trade-offs deployment options and production use cases.
• 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)
• Hands-on experience with Amazon Bedrock Knowledge Bases AgentCore Agents AWS Strands or MCP is a strong advantage.
• Experience selecting evaluating and optimizing LLMs for quality latency and cost.
• Ability to explain technical trade-offs and guide customers through AI solution design is a strong advantage.
• Experience with Infrastructure as Code (Terraform CloudFormation or AWS CDK) Docker Kubernetes and CI/CD pipelines is a strong advantage.
• Experience with speech-to-text text-to-speech or Voice AI is 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.