Location: Bengaluru, India

Remote: Yes

Willing to relocate: Yes

Technologies: Python, TypeScript/JavaScript, FastAPI, LangGraph, LangChain, RAG, LLMs, Agentic Workflows, OpenAI API, LangSmith, pgvector, PostgreSQL, Redis, Docker, Kubernetes, AWS, React

Résumé/CV: https://drive.google.com/file/d/1Jem75z8IMH6EPi-duSA0Tb6Uqf4...

Email: tusharjainn1@gmail.com

GitHub: https://github.com/tusharjain1003

LinkedIn: https://linkedin.com/in/tushar-jain-1003

AI/backend engineer with 3+ years of experience building production LLM, RAG, agentic, and backend systems across enterprise SaaS, fintech, and healthcare.

Recently built scoped RAG systems that attach brand/account context from PDFs, Sheets, websites, and internal instructions to LLM calls, supporting 50+ enterprise brands, and backend systems processing 2.5M+ campaign records.

Built AgentLens, a LangGraph-based agentic RAG system with hybrid retrieval, reflection-based gap recovery, claim verification, semantic query caching, guardrails, SSE streaming, and LangSmith tracing; and CodeSentinel, a multi-agent AI pull request review system with structured review outputs, QLoRA fine-tuning, vLLM-compatible serving, and a custom eval harness.

I’m interested in AI engineer, backend engineer, LLM/RAG engineer, founding engineer, or forward-deployed engineering roles.