Job description

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

• Possibility to work remotely

We reserve the right to contact the selected candidates.