Tata Consultancy Services
Linkedin · Posted 21d ago
Generative AI Engineer
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Indexed description
Job Title: GenAI / LLM Engineer
Key Skills:
- LLM frameworks: LangChain, LangGraph, LlamaIndex, AWS Bedrock
- Vector DBs: Pinecone, FAISS, OpenSearch, Kendra
- Python (mandatory), SQL/NoSQL (Postgres, DynamoDB, MongoDB), Graph DB
- ML/DL: Scikit-learn, TensorFlow/PyTorch
- Embeddings: BERT, Sentence Transformers
- Web frameworks: Flask, FastAPI (plus Streamlit/Gradio for UI)
- Cloud: AWS (preferred), Azure
Responsibilities:
- Build and optimize LLM solutions using RAG, prompt engineering, fine-tuning
- Develop AI agents & automated workflows
- Integrate vector databases for semantic search
- Build and deploy chatbots & conversational AI systems
- Apply ML/DL models for business use cases
- Integrate APIs and collaborate to deliver production-ready AI solutions
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