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.
Implement vector databases (FAISS, Pinecone, Milvus) for semantic search.
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.
Bachelors or Masters 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.
ref : hirist.tech)
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Ai Engineer • Bangalore
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