Python with Gen AI

Role & responsibilities

Python + gen AI

Relevant experience in production AI app development, not POC or self-learning projects. Build and Productionize cloud native backend services and AI/LLM inference pipelines. l Design and develop Python-based APIs and microservices (FastAPI, async patterns) and agentic AI workflows using LangChain/LangGraph. l Implement and optimize LLM capabilities including embeddings, RAG, vector search, prompt/context engineering, and model versioning. l Package, serve, and monitor models for real-time and batch inference, ensuring operational readiness and performance. l Build event driven, resilient integrations and containerized services, with hands-on Kubernetes debugging and Helm-based deployments. l Establish observability, SLOs, CI/CD automation, unit testing. l Apply strong systems design principles (concurrency, caching, reliability, rate limiting) and robust data engineering practices. l Cloud exposure preferred (Azure/AKS, managed services), with bonus experience in performance tuning, frontend collaboration, and model governance/monitoring.