About the Role

We're looking for a Technical Lead to own our AI & Engineering initiatives, driving the design and delivery of production-grade AI systems with Backend System while leading a cross-functional engineering team.

This is a hands-on engineering leadership role focused on building production-grade AI applications and scalable backend systems. It is not primarily a research or model-training role.

Key Responsibilities
Design and deploy LLM-powered pipelines, including RAG, agentic workflows
Architect distributed backend systems using Kafka, Redis, and cloud infrastructure (Azure)
Design end-to-end AI application architecture covering LLM orchestration, RAG, vector databases, model APIs, evaluation, observability, and backend services.
Lead and mentor a team of backend engineers & QA
Own infrastructure decisions including cloud, cost optimization, and security/compliance practices
Collaborate with product and business stakeholders to translate requirements into scalable technical solutions
Drive evals, prompt engineering,



and continuous improvement of AI system accuracy and reliability

Required Skills
Solid hands-on experience with LLM , RAG pipelines, vector search, and prompt engineering
Proficiency in Python and Node.js/TypeScript; experience with FastAPI/Express.js
Experience with Kafka, Redis, MongoDB, and distributed system design
Working knowledge of LLM APIs (OpenAI, Gemini)
Cloud experience (Azure) and containerization (Docker)
Proven experience leading and mentoring engineering teams

Must Have
Proficiency in Node JS, Python and MongoDB
Distributed System Skills
System Design Skills
Hands on experience in Designing and Maintaining Backend System

Positive to Have
Experience building AI agents and RAG based system
Exposure to OCR and multi-modal document pipelines
Familiarity with security/compliance frameworks such as ISO 27001

📌 Technical Lead Noida
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📍 Noida