Backend Engineer - Python / FastAPI / LLM Pipelines

Environment: International team ️ English: Good professional working proficiency required What will you be working on? You will help build and operate the Python backend behind an AI-powered platform used to process, compare, update and evaluate complex technical content. Your responsibilities will include:

• Designing and maintaining REST APIs using Python and FastAPI .
• Developing typed API schemas with Pydantic and strong typing practices.
• Building asynchronous backend components and secure endpoints.
• Developing agentic AI pipelines using LangGraph and LangChain .
• Implementing workflows for content discovery, matching, editing, validation and evaluation.
• Integrating Azure OpenAI models using structured outputs and function/tool calling.
• Developing RAG-based solutions using embeddings and FAISS .
• Implementing grounding, provenance and hallucination-control mechanisms.
• Processing engineering datasets and large structured XML documents.
• Performing data transformations using pandas and openpyxl .
• Developing database integrations using SQLAlchemy 2.x, PostgreSQL and AWS Aurora .
• Containerizing and deploying backend workloads using Docker and AWS ECS/Fargate .
• Working with AWS services such as ECR, Secrets Manager, RDS and SSO .
• Maintaining automated testing practices using pytest .

• Strong professional experience with Python .
• Solid experience developing APIs with FastAPI .
• Experience with Pydantic, async Python and typed backend development .
• Experience with SQLAlchemy and PostgreSQL .
• Hands-on experience developing LLM applications using LangGraph and/or LangChain .
• Experience integrating OpenAI or Azure OpenAI APIs .
• Knowledge of RAG, embeddings, vector search and structured LLM outputs .
• Experience implementing techniques to reduce hallucinations and improve LLM output quality.
• Experience processing structured or semi-structured datasets.
• Knowledge of Docker and AWS cloud services .
• Experience with automated testing using pytest .
• Experience with XML processing is highly valued.
• Experience with AWS Aurora, ECS/Fargate or RDS Data API is a plus.
• Good professional English communication skills. Technology Stack Python · FastAPI · LangGraph · LangChain · Azure OpenAI · RAG · FAISS · Pydantic · SQLAlchemy · PostgreSQL · AWS Aurora · Docker · ECS/Fargate · pandas · XML · pytest If you enjoy working at the intersection of backend engineering, generative AI and cloud-based data processing , we would love to hear from you.

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