Python Gen AI Engineer W2 Only

10 years of software development with strong Python expertise in production environments2 years hands on LLM development Lang Chain, Lang Graph, or equivalent frameworks RAG pipeline experience embeddings, vector search, reranking, answer generationLLM APIs Open AI Chat Completions, Responses API, streaming, tool calling sync Python Asuncion, httpx, FastAPIPrompt engineering system prompts, few shot, structured JSON output Circuit breaker patterns, retry logic, resilient service design PostgreSQL and async ORMs SQLAlchemy async Alembic it, CICD, Docker, Kubernetes basics Strong system design skills microservices, distributed systems, API design
Key Responsibilities

Design, develop, and maintain scalable Python-based production applications and services.

Build and enhance LLM-powered applications using LangChain, LangGraph, or equivalent frameworks.

Design and implement RAG pipelines, including embeddings, vector search, reranking, and answer generation.

Integrate LLM APIs including OpenAI Chat Completions, Responses API, streaming, and tool/function calling.

Develop asynchronous Python services using asyncio, httpx, and FastAPI.

Implement prompt engineering techniques including system prompts, few-shot prompting, and structured JSON output.

Build resilient services using circuit breaker patterns, retry mechanisms, timeout handling, and fault-tolerant design.

Develop database solutions using PostgreSQL, SQLAlchemy Async, and Alembic.

Design and develop scalable microservices, REST APIs, and distributed systems.

Implement CI/CD pipelines and containerized deployments using Git, Docker, and Kubernetes.

Participate in system design, architecture discussions, code reviews, troubleshooting, and production support.