Generative AI Tech Lead

Job description

**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.