Job Description

Job Title: AI Engineering Lead

Location:

Chandigarh (On-site)

Experience:

4-7 years

Employment Type:

Full-time

Role Overview

We are looking for an

AI Lead Engineer

to spearhead our artificial intelligence initiatives and provide technical leadership to a high-performing engineering team. In this role, you will split your time between

architecting scalable AI systems

,

hands-on coding

, and

mentoring engineers

. You will be the technical anchor for our AI products, ensuring we move swiftly from POC to production-grade solutions.

Key Responsibilities

Technical Leadership & Architecture:

Design and architect robust AI/ML solutions (specifically Generative AI, RAG pipelines, and Agentic workflows) that are scalable and cost-effective.

Hands-on Development:

Actively contribute to the codebase, implementing core algorithms, setting up advanced RAG retrieval strategies, and integrating LLMs into our product ecosystem.

Team Mentorship:

Lead code reviews, enforce engineering best practices, and guide junior engineers/data scientists on technical problem-solving.

MLOps:

Bridge the gap between research and production. Oversee model deployment, monitoring, and optimization (latency, token usage, accuracy) on cloud infrastructure.

Collaboration:

Work closely with Product Managers and Leadership to translate business requirements into technical AI specifications and roadmaps.

Required Skills

Experience:

4-7 years of total experience in Software Engineering or Data Science, with at least 2+ years dedicated to

Applied AI/ML

or

Generative AI

.

Core Tech Stack:

Expert proficiency in

Python

and solid grasp of modern AI frameworks (LangChain, LlamaIndex, PyTorch, or TensorFlow).

Generative AI Expertise:

Proven experience building

RAG (Retrieval-Augmented Generation)

systems, working with Vector Databases (Pinecone, Chroma, Milvus), and prompting/tuning LLMs (OpenAI, Anthropic, Llama).

System Design:

Strong understanding of API design (FastAPI/Flask), database schema design (SQL & NoSQL), and microservices architecture.

Leadership:

Experience mentoring developers, leading technical sprints, or managing technical decision-making for a small team.

Nice to Have

Experience with

Agentic AI

frameworks (LangGraph, CrewAI). Solid

MLOps

background (AWS SageMaker, Docker, Kubernetes, CI/CD for ML). Experience with model fine-tuning (LoRA, QLoRA) or deploying open-source models (vLLM, Ollama). Previous startup experience.

What We Offer

Opportunity to define the technical direction of innovative AI-driven products. A clear growth path into

Principal Engineer

roles. A collaborative, fast-paced environment where your code ships to production quickly. Competitive compensation and the chance to work with the latest AI tech stack.
Job Type: Full-time

Pay: ?800,000.00 - ?1,500,000.00 per year

Work Location: In person