Job Description

Requirements :

- Design and develop Knowledge Based AI and GenAI-powered applications using models like GPT-4, LLaMA, Claude.

- Build and manage RAG (Retrieval-Augmented Generation) pipelines.

- Develop APIs and backend systems to integrate AI into products (FastAPI, Flask, etc.); Streamlit for prototype and demo interface.

- Use vector databases (FAISS, Pinecone, Milvus) for search capabilities.

- Collaborate with data scientists, product managers, and engineers.

- Continuously monitor, evaluate, and improve model outputs.

- Stay updated with current advancements in AI/ML, GenAI, and prompt engineering.

What You Bring :

- 0 - 3 years of relevant experience in Machine Learning or AI engineering.

- Bachelor's or Master's in Computer Science, AI, Data Science, or related field.

- Proficiency in Python - Core Concepts, Data Structures and Algorithms.

Preferred Additional Skills :

- Experience with agentic frameworks like LangChain, LangGraph, CrewAI, etc

- Knowledge of GenAI technologies like LLM, RAGs, Prompt Engineering, etc

- Understanding of AI, machine learning, and natural language processing (NLP) concepts.

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