GenAI (Generative AI) Tech Lead - Role Overview
We are looking for a hands-on GenAI Tech Lead to architect, build, and deliver production-grade GenAI solutions. This role is 7080% hands-on engineering and 2030% technical leadership.You will work directly with clients, lead a small GenAI team, and define GenAI engineering standards at Techno Tackle.
Experience
- 4+ years building ML-powered production systems
- 12+ years of hands-on Generative AI experience
- Strong ML foundation with a natural evolution into GenAI.
- This is role is not for backend engineers who recently switched to GenAI)
- This role demands engineering depth, architectural thinking, and accountability.
Key Responsibilities
- Lead and mentor a small GenAI team; conduct code reviews and internal training.
- Write clean, production-grade Python code.
- Design and deliver production-ready GenAI systems (not PoCs)
- Architect and optimize RAG solutions (chunking, embeddings, retrieval, context optimization)
- Build AI agents using LangChain, LangGraph, or similar frameworks
- Build end-to-end systems: APIs, inference pipelines, data flows, and cloud deployment
- Deploy GenAI solutions on AWS (including Bedrock); decide between API vs self-hosted models
- Use LLM APIs (OpenAI, Anthropic, Gemini), embeddings, retrievers, and vector databases
- Build rapid prototypes and automation (including tools like n8n when needed)
Must-Have Skills
- Strong Python and production engineering skills
- Solid Machine Learning fundamentals
- Hands-on experience with RAG systems
- Experience with LLM orchestration frameworks
Preferred Skills
- Open-source / self-hosted LLMs (LLaMA, Mistral)
- GenAI observability tools (e.g., LangSmith)
- Advanced agent workflows
- Cost optimization of LLM systems
Job Type: Full-time, Permanent
Pay: Up to 12,00,000 CTC per year
Company Details:https://www.technotackle.com/
Work Location: Coimbatore.
