Job Description

Job description

GenAI (Generative AI) Tech Lead

We are looking for a hands-on GenAI Tech Lead to architect, build, and deliver production-grade GenAI solutions. This role is 70-80% hands-on engineering and 20-30% 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 1-2+ 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:

Work Location:

Coimbatore.

Job Types: Full-time, Permanent

Pay: Up to ₹1,200,000.00 per year

Benefits:

Flexible schedule Health insurance Life insurance Provident Fund
Application Question(s):

Have you read the job description carefully, and do you have hands-on experience in ML-powered production systems , Generative AI use cases , Python (production-grade coding) . If not, please do not apply for this role.
Experience:

ML-powered production systems : 4 years (Required) Generative AI : 2 years (Required) implementing Retrieval-Augmented Generation (RAG) systems : 2 years (Required)
Work Location: In person