Generative AI Tech Lead

Experience Level: Minimum 7-10 years of total IT experience (at least 2+ years in Generative AI, LLMs, or related AI/ML technologies)

• Should have strong technical expertise in Python, hands-on experience with at least one GenAI framework (LangGraph, LangChain, or Google AI Development Kit), and strong working knowledge of one hyperscaler platform (Google Cloud, Azure, or AWS).
• The associate should lead solution design, integrating LLMs into enterprise workflows, mentoring team members, and driving production-grade implementation of GenAI use cases.
• Good knowledge of MLOps or DevOps teams to automate model deployment, versioning, and monitoring.

Skills & Experience:

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.