Gen AI Engineer - Pan India - 1st Sep (Tuesday)- Video Interview
Tata Consultancy Services · Remote · onsite · Posted 56d ago
Undisclosed4–9 yrsfulltimeSourced from
About a minute. You'll make an account on the way through.
About this role
Key Responsibilities
- Application Development: Build and deploy applications using foundation models (e.g., GPT, Claude, Gemini, Llama) and APIs.
- RAG Implementation: Build Retrieval-Augmented Generation (a technique that lets AI search external data before answering) to ground outputs in factual company data.
- Agentic AI: Develop autonomous AI agents capable of multi-step reasoning and tool execution via APIs.
- Optimization & Fine-Tuning: Optimize model performance, reduce hallucinations (incorrect or made-up AI responses), and fine-tune open-source or closed-source models.
- Vector Databases: Implement vector stores (e.g., Faiss, Pinecone, Chroma) for fast semantic similarity search.
- Production & Monitoring: Deploy models securely, monitor latency and costs, and enforce responsible AI and data privacy guardrails.
Required Skills & Qualifications
- Programming: Advanced proficiency in Python (async programming, REST APIs).
- AI Frameworks: Hands-on experience with LangChain, LlamaIndex, or Hugging Face Transformers.
Sourced from naukri
Skills
Retrieval Augmented GenerationLarge Language Models (LLMs)PythonGenerative AiArtificial Intelligence
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Tata Consultancy Services
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