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TensorFlowRAGFastAPIDjangoOpenAI APIGitJavaScriptLinuxTypeScriptReactRedisAWSJenkinsPythonAgentic AIDockerLLMsSQLTransformersPyTorchPostgreSQLCI/CD

Description

5+ YOE building scalable backend systems and production-grade AI applications. Strong focus on high-performance APIs, LLM integration, and end-to-end system design. Most recently built a multi-agent AI system (9 agents) using LLM orchestration, RAG (400K+ embeddings), and fine-tuned Llama models for autonomous decision-making. Experience building end-to-end systems (API
→ caching
→ DB
→ async pipelines
→ deployment) using FastAPI, Redis, PostgreSQL, Docker, and AWS. Previously at Mindtree: reduced API latency by 75%, built real-time feature flagging system (Django + Redis), and developed resilient backend systems for high-traffic applications. Interested in backend systems, AI engineering (LLMs, RAG, agentic workflows), and building intelligent, scalable products.