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.

Requirements
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.

Benefits
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.

Skills Required