Informacje o stanowisku

You’ll build and extend the backend of myGenAssist, an enterprise AI assistant platform. The backend is a FastAPI application that orchestrates LLM interactions, manages agent workflows with LangChain/LangGraph, handles document processing pipelines, and exposes tools via MCP (Model Context Protocol).

Qualifications & Competencies (education, skills, experience):

• 3+ years with Python in production backend systems
• Strong FastAPI experience (async/await, dependency injection, middleware)
• SQLAlchemy or SQLModel with PostgreSQL
• Redis for caching and task queues
• Experience integrating LLMs via API (OpenAI SDK or similar)
• Testing with pytest
• Docker for development and deployment
• Understanding of async Python (asyncio, concurrent session management)
• Git and PR-based workflow
• Nice to Have:
• LangChain / LangGraph for agent orchestration
• Vector databases (Qdrant, pgvector) and RAG patterns
• MCP (Model Context Protocol)
• Document processing pipelines (Docling, Unstructured)
• OpenTelemetry and distributed tracing
• Kubernetes basics (we run on EKS)
• AWS services (S3, Secrets Manager)
• OAuth2/JWT authentication
• Agile/Scrum experience

You’ll build and extend the backend of myGenAssist, an enterprise AI assistant platform. The backend is a FastAPI application that orchestrates LLM interactions, manages agent workflows with LangChain/LangGraph, handles document processing pipelines, and exposes tools via MCP (Model Context Protocol).

,[Design and implement async APIs using FastAPI, following our patterns for session management, API versioning, and domain-driven structure., Build and evolve AI agent workflows using LangChain and LangGraph — tool integration, state persistence, multi-step reasoning., Design and optimize database schemas with SQLModel/SQLAlchemy and PostgreSQL, including migrations and vector search (pgvector, Qdrant)., Build background job pipelines with RQ (Redis Queue) for document processing, knowledge base indexing, and long-running tasks., Implement observability using OpenTelemetry, Langfuse, Prometheus, and Grafana., Write tests using pytest with parallel execution, covering unit, integration, and RAG evaluation., Enforce code quality through reviews and adherence to security best practices (OWASP). Requirements: Python

Praca Warszawa

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