Posted:12 hours ago| Platform: Linkedin logo

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Job Type

Full Time

Job Description

We are looking for a

Senior GenAI Engineer (4–6 years experience)

with strong expertise in

Agentic AI, LangChain, LangGraph

, and a solid background in

Machine Learning & Deep Learning

. The role involves leading the development of GenAI applications using LLMs, vector databases, and modern AI frameworks.

Key Responsibilities

  • Build Agentic AI workflows using LangChain/LangGraph.
  • Develop scalable GenAI APIs/microservices with Python & FastAPI.
  • Design RAG-based solutions and integrate vector databases.
  • Collaborate with teams to deliver production-grade GenAI systems.
  • Implement AI Ops practices (LangFuse, Docker, Jenkins, CI/CD).
  • Build and optimize ML/DL models and perform model evaluation.
  • Stay updated with GenAI and Agentic AI trends.

Required Skills

  • 3–8 yrs experience in AI/ML/GenAI.
  • Strong hands-on experience with LangChain & LangGraph.
  • Experience with vector DBs (FAISS, Pinecone, Weaviate, MongoDB).
  • Knowledge of LLMs (OpenAI, Azure, Claude, Llama, etc.).
  • Proficiency in Python, FastAPI, and ML/DL frameworks (PyTorch, TensorFlow, scikit-learn).
  • Strong fundamentals in math, statistics, SQL, and data preprocessing.

Good to Have

  • Experience with AI Ops tools (LangFuse, Jenkins, Docker, CI/CD).
  • LLM fine-tuning & prompt engineering.
  • Exposure to Azure-based eRAG solutions.
Understanding of solution architecture, deployment models, and NFRs
Skills: langchain,vector,ml

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