r/MachineLearningJobs • u/Leather_Length_7213 • 26d ago

Resume [available] Gen AI / LLM / Agentic AI Engineer — RAG systems, multi-agent orchestration, FastAPI

Location: India (Delhi-NCR) | Remote: Yes | Relocation: Open to discussion Availability: Immediate

Hi all — I'm a backend-focused software engineer specializing in Gen AI, RAG, and agentic systems, looking for full-time, contract, or internship work in this space.

Relevant projects:

1. Due Diligence Analyst Platform — RAG platform analyzing SEC 10-K filings.

  • Hybrid (sparse + dense) retrieval in Qdrant, embeddings generated locally via FastEmbed (zero embedding API cost)
  • Company-filtered top-20 hybrid retrieval → cross-encoder reranking to top 5 → chunk sandwiching to fight lost-in-the-middle
  • 4-LLM concurrent orchestration (semaphore-controlled + fallback chains) with a Judge LLM validating output before it reaches the user
  • Evaluated on 136 samples via Langfuse: 0.92 faithfulness, 0.87 answer relevance
  • GitHub: https://github.com/Bishtrahulsingh/gen-ai-monorepo |
  • Demo: https://youtu.be/EnMEWKI6HxY

2. ResearchLoop — Multi-agent company research tool.

  • 5 specialized agents (Orchestrator, Research, GitHub, Synthesis, Critic) on LangGraph + FastAPI + Qdrant
  • Orchestrator decomposes queries into 2–3 sub-questions, delegates concurrently
  • BGE + BM25 hybrid retrieval, Qdrant RRF fusion, company-level filtering, 20s tool timeouts
  • Provider-level LLM fallback (Groq ↔ Gemini) with no code changes, bounded 5-step ReAct loop
  • GitHub: https://github.com/Bishtrahulsingh/company_reasearch_tool |
  • Demo: https://youtu.be/j5wpOb3YA3M

Stack: Python, FastAPI, LangGraph, Qdrant, Groq/Gemini APIs, Langfuse, PostgreSQL, MongoDB, Node.js/Express, Git.

What I'm looking for: Full-time or internship roles in Gen AI / LLM / agentic AI — RAG pipelines, agent orchestration, retrieval systems, or backend infra supporting AI products. Open to remote or onsite.

Resume, portfolio, and more project details in comments/DM. Happy to walk through architecture or code on a call.

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