01Overview
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Key Responsibilities
Generative AI Development (50%)
Architect, build, and deploy production-ready Generative AI solutions using Python, LangChain/LlamaIndex, OpenAI API, Anthropic, Hugging Face, and open-source LLMs (Llama, Mistral).
Design and implement Retrieval-Augmented Generation (RAG) architecture using vector databases (Chroma, Pinecone, FAISS, Qdrant) for enterprise document intelligence and semantic search.
Build multi-agent AI systems, custom chatbots, and workflow automation using tools like CrewAI, AutoGen, and LangGraph.
Fine-tune, evaluate, and optimize open-source foundation models for domain-specific tasks and latency/cost efficiencies.
Integrate GenAI backend pipelines with RESTful APIs (FastAPI/Flask) and front-end application interfaces.
Technical Training Mentorship (50%)
Deliver hands-on, structured training modules on Generative AI concepts, Prompt Engineering, Fine-tuning, RAG architecture, Vector DBs, and AI Application Development.
Mentor trainees, students, and developers through live AI build projects, code reviews, and real-world debugging workflows.
Develop up-to-date curricula, practical lab exercises, coding benchmarks, and project blueprints reflecting current GenAI industry practices.
Conduct technical assessments, hackathons, and mock technical interviews to prepare candidates for corporate AI roles.
Experience 0 - 2 Years Salary 2 Lac To 3 Lac P.A. Industry Education / Teaching / Training / Counselling / Academic Qualification B.E Key Skills AI Trainer AI Developer AI Engineer AI Executive Personality Development Trainer
Disclaimer: This job posting & Location has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying. .
