Your responsibilities: Design, implement, and optimize AI applications using LLMs Develop and orchestrate RAG pipelines using frameworks like LangChain Build APIs and services using FastAPI, Django, or Flask Collaborate with backend teams to integrate AI services into scalable cloud architectures (Azure and AWS) Ensure application reliability and performance in production environments Write and maintain clear, reusable, and testable code Create and manage Dockerfiles for application containerization

Participate in design discussions and code reviews

We are looking for you, if you have: Proficiency in Python with strong programming skills Solid hands-on experience with LLMs and RAG-based systems Proficiency in LangChain and OpenAI APIs (OpenAI, Azure OpenAI, Amazon Bedrock) Backend development experience using FastAPI, Django, or Flask Working knowledge of Docker and containerization principles Experience in deploying and maintaining backend systems on Azure and/or AWS

Nice to have experience with Terraform for infrastructure as code

We offer: Interesting and challenging projects Flexible working hours Friendly, non-corporate atmosphere Stable working conditions (CoE or B2B) Possibility for self-development and promotion in the company Rich benefits package Work model: remote or hybrid (2 days per week from the office) We reserve the right to contact the selected candidates.