AI Engineer � LLM Fine-Tuning & LangGraph Integration.

Posted on May 8, 2025

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Job Description

  • AI Engineer � LLM Fine-Tuning & LangGraph Integration.
  • About the Role:
  • Duration: 6 months
  • Location: Remote
  • Timings: Full Time (As per company timings)
  • Notice Period: (Immediate Joiner - Only)
  • Experience: 4-6 Years
  • Key Responsibilities
  • ? Fine-tune and train open-source LLMs (e.g., LLaMA or similar) for downstream applications.
  • ? Build and orchestrate multi-agent workflows using LangGraph for production use cases.
  • ? Implement and optimize RAG pipelines, including embedding stores and retrievers.
  • ? Deploy and manage models via Hugging Face with robust inference capabilities.
  • ? Develop modular backend components and APIs using Python.
  • ? Ensure reproducibility, efficiency, and scalability in all LLM training and deployment tasks.
  • ? Independently build and deliver project components from the ground up.
  • Must-Have Skills
  • ? 4�6 years of hands-on experience in AI/ML engineering roles.
  • ? Strong experience with LangGraph in real-world, multi-agent applications.
  • ? Production-level experience in LLM fine-tuning and deployment (not POCs or academic work).
  • ? Deep understanding of RAG pipeline design and implementation.
  • ? Proficiency in Python for data pipelines and model orchestration.
  • ? Familiarity with open-source LLMs like LLaMA, Mistral, Falcon, etc.
  • ? Deployment experience with the Hugging Face ecosystem.
  • Nice-to-Have
  • ? Experience with vector DBs (e.g., FAISS, Weaviate).
  • ? Familiarity with streaming/async API infrastructure.
  • ? Exposure to AI use cases in healthcare or research domains.
  • Additional Notes
  • ? This is a pure individual contributor role � no team handling or delegation required.
  • ? The role requires building systems from scratch, with full ownership of architecture, execution, and optimization.
  • ? Candidates with only academic, demo, or POC experience will not be considered.
  • Driving Results:
  • Good single contributor & good team player.
  • Flexible attitude towards work, as per the needs.
  • Proactively identify & communicate issues and risks.
  • Other Personal Characteristics:
  • Dynamic, engaging, self-reliant developer
  • Ability to deal with ambiguity
  • Manage a collaborative and analytical approach
  • Self-confident and humble
  • Open to continuous learning
  • Intelligent, rigorous thinker who can operate successfully amongst bright people

Required Skills

? 4�6 years of hands-on experience in ai/ml engineering roles. ? strong experience with langgraph in real-world multi-agent applications. ? production-level experience in llm fine-tuning and deployment (not pocs or academic work). ? deep understanding of rag pipeline design and implementation. ? proficiency in python for data pipelines and model orchestration. ? familiarity with open-source llms like llama mistral falcon etc.