Your responsibilities:Design, implement, and optimize AI applications using LLMsDevelop and orchestrate RAG pipelines using frameworks like LangChainBuild APIs and services using FastAPI, Django, or FlaskCollaborate with backend teams to integrate AI services into scalable cloud architectures (Azure and AWS)Ensure application reliability and performance in production environmentsWrite and maintain clear, reusable, and testable codeCreate and manage Dockerfiles for application containerizationParticipate in design discussions and code reviewsWe are looking for you, if you have:Proficiency in Python with strong programming skillsSolid hands-on experience with LLMs and RAG-based systemsProficiency in LangChain and OpenAI APIs (OpenAI, Azure OpenAI, Amazon Bedrock)Backend development experience using FastAPI, Django, or FlaskWorking knowledge of Docker and containerization principlesExperience in deploying and maintaining backend systems on Azure and/or AWSNice to have experience with Terraform for infrastructure as codeWe offer:Interesting and challenging projectsFlexible working hoursFriendly, non-corporate atmosphereStable working conditions (CoE or B2B)Possibility for self-development and promotion in the companyRich benefits packageWork model: remote or hybrid (2 days per week from the office)We reserve the right to contact the selected candidates.