GenAI Technical Lead
Tata Consultancy Services · Hyderabad · onsite · Posted 42d ago
Undisclosed7–10 yrsfulltimeSourced from
About a minute. You'll make an account on the way through.
About this role
- Core Technical Skills
- Python (advanced proficiency; ability to build APIs, pipelines, and modular frameworks).
- Hands-on with at least one GenAI framework:
- LangChain, LangGraph, or Google ADK (AI Development Kit).
- Expertise with LLM integration (OpenAI API, Gemini API, Ollama, Hugging Face, etc.).
- Experience with RAG, embeddings, and vector databases.
- Familiarity with PEFT, LoRA, or prompt fine-tuning approaches.
- Cloud / Hyperscaler Expertise (at least one required)
- Google Cloud Platform (GCP) Vertex AI, Document AI, BigQuery, AlloyDB, Cloud Run, IAM
- Azure – Azure OpenAI, Cognitive Search, Azure ML, Azure Functions
- AWS – Bedrock, SageMaker, Lambda, API Gateway, DynamoDB
- Other Desirable Skills
- Knowledge of REST APIs, JSON, and FastAPI/Flask frameworks.
- Familiarity with data governance, PII handling, and AI ethics principles.
- Understanding of Docker/Kubernetes, CI/CD, and Git-based version control.
- Exposure to front-end integration with AI chat agents (React, Streamlit, Gradio, etc.) is a plus.
Sourced from naukri
Skills
Integrate LLMsRetrieval Augmented GenerationgooglebigqueryLanggraphLangchain
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Tata Consultancy Services
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