1. 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

1. 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.

📌 GenAI Technical Lead (Bengaluru)
🏢 Tata Consultancy Services
📍 Bengaluru