Gen AI Engineer
5 days ago
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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