PythonJob Summary:
We are hiring a Data Scientist – Gen AI with hands-on experience in developing Agentic AI applications using frameworks like LangChain, LangGraph, Semantic Kernel, or Microsoft Copilot. The ideal candidate will be proficient in Python, LLMs, and prompt engineering techniques such as RAG and Chain-of-Thought prompting.
Key Responsibilities:
- Build and deploy Agent AI applications using LLM frameworks.
- Apply advanced prompt engineering (Zero-Shot, Few-Shot, CoT).
- Integrate Retrieval-Augmented Generation (RAG).
- Develop scalable solutions in Python using NumPy, Pandas, TensorFlow/PyTorch.
- Collaborate with teams to deliver business-aligned Gen AI solutions.
Must-Have Skills:
- Experience with LangChain, LangGraph, or similar (priority given).
- Strong understanding of LLMs, RAG, and prompt engineering.
- Proficiency in Python and relevant ML libraries.
Nice-to-Have:
- Wrapper API development for LLMs.
- REST API integration within Agentic workflows.
Qualifications:
- Bachelor’s/Master’s in CS, Data Science, AI, or related.
- 4–7 years in AI/ML/Data Science, with 1–2 years in Gen AI/LLMs.
Shubham Vishwakarma
Full Stack Developer - Averlon
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