You will join a team building next-generation AI-powered products based on Large Language Models. The project focuses on transforming LLM prototypes into scalable, secure, and production-grade systems. The role covers the full AI lifecycle – from architecture and backend development to infrastructure, monitoring, and cost optimisation. Your responsibilities
Build and maintain production-grade LLM systems (including RAG, semantic search, embeddings, vector databases). Design and develop APIs and microservices in Python (e.g. FastAPI). Develop and maintain CI/CD pipelines for models (LLMOps/MLOps). Deploy and manage infrastructure in AWS (Lambda, ECS/EKS, S3, API Gateway, CloudWatch). Implement containerisation (Docker) and orchestration (Kubernetes). Monitor model quality (latency, drift, hallucinations, cost efficiency). Collaborate closely with Data Science, ML, Data Engineering and Product teams. Our requirements
Strong Python skills with experience building production APIs. Hands-on experience deploying LLM-based systems in production. Practical knowledge of RAG, embeddings, vector databases, and semantic search. Experience with AWS and scalable backend system design. Solid understanding of Docker, Kubernetes and CI/CD. Proven ability to move from PoC to stable production solutions. What we offer
Opportunity to work on advanced AI systems with real product impact. Strong influence on architecture and technology decisions. Collaboration with an experienced Data & AI team in an international environment. Flexible andremote-friendly working mode
AI Engineer in Kielce – pracodawca: BraverIT
BraverIT to doskonały pracodawca, który oferuje wyjątkowe możliwości rozwoju kariery w dynamicznym środowisku pracy. Pracując zdalnie z Polski, będziesz miał dostęp do międzynarodowych projektów oraz konkurencyjnych benefitów, a także możliwość współpracy z zespołami analitycznymi i inżynieryjnymi, co sprzyja innowacyjności i ciągłemu doskonaleniu umiejętności.
