Software Engineer (Backend)

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).

• 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

• Design and implement async APIs using FastAPI, following 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).