Python Developer (41369)

I’m looking for an experienced Pyhon Developer to help build cloud-native, AI-enabled services using Python and FastAPI. The position includes developing async APIs, WebSockets for real-time updates, and transactional business logic with ACID compliance. You’ll work closely with Data Science and Frontend teams and integrate AI tooling such as LangChain, OpenAI, and Azure AI Search. I’m looking for someone comfortable in production environments and fluent with AI coding assistants. Contact me for more details.

🚀 Project
- build async FastAPI services with structured logging and low-latency endpoints
- develop RESTful APIs across 1–6 microservices
- implement WebSockets for real-time updates
- optimize DB operations with pooling and JSONB queries
- create background task systems with retries and idempotency
- containerize with Docker; deploy via Helm to AKS
- manage configs and run DB migrations
- implement job scheduling with tracking and retries
- optimize caching with Redis
- configure CORS, middleware, and request logging
- integrate LangChain/OpenAI for semantic tasks
- build document processing for PDFs, Excel, DOCX
- use vector DBs and Azure AI Search for RAG
- offload heavy LLM tasks to maintain low latency
- collaborate on prompt engineering and evaluation
- design PostgreSQL schemas with indexing and multi-tenant isolation
- integrate Azure Blob Storage for large files
- implement transactional business logic with ACID compliance
- use Cosmos DB for NoSQL workloads
- manage DB connections and transactions
- work closely with Data Science and Frontend teams
- define API contracts, secure access, and async orchestration
- communicate technical decisions clearly
- adapt quickly to feedback and project needs
- use AI coding assistants for speed and quality

🎯 Skills
- 3–5+ years of backend development experience
- 2–3+ years of production experience with Python and FastAPI
- fluency with AI coding assistants: GitHub Copilot, Cursor, or similar tools for accelerated development
- Core: Python 3.11+, FastAPI, async/await patterns
- Data Layer: PostgreSQL, asyncpg, SQLAlchemy 2.0, Alembic migrations
- PostgreSQL optimization: complex queries, indexing strategies, connection pooling with asyncpg
- Azure: Blob Storage, AKS, AI Search, Cosmos
- DB Deployment: Docker, Kubernetes, Helm charts
- AI/ML: LangChain, OpenAI APIs, vector databasesSupporting
- Tools: Redis caching, Pydantic v2, pytest

💡 Nice to have
- Kubernetes/Helm operations experience
- LangChain/LLM integration or AI/ML pipeline experience
- Multi-tenant SaaS architecture knowledge
- Cosmos DB or NoSQL experience
- job queues/workflow orchestration (Celery, RQ)
- performance profiling (py-spy, cProfile, pgBadger)

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