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.

📌 Genai Technical Lead Bengaluru (India)
🏢 Tata Consultancy Services
📍 India