INTL AI Engineer

Insight Global; Chennai District; On-site; INR 3,500,000 - 6,000,000; Full time

Job summary

Insight Global is seeking a Lead AI Engineer in Chennai to anchor its AI Engineering & Operations team. You will own architecture, patterns, and direction for AI agent development, including RAG pipelines, MCP integrations, evaluation frameworks, and production deployments.

This hands-on leadership role requires coding, code reviews, and establishing team-wide patterns while mentoring engineers. The company emphasizes inclusive culture and equal opportunity employment.

Qualifications

• Languages required: Python and SQL.
• Experience with AI/ML frameworks and LLMs in production.
• End-to-end RAG pipelines and vector databases.
• Experience building multi-step agent workflows in production.
• MLOps practices including versioning and CI/CD.

Skills

Python

SQL

LangChain

Hugging Face Transformers

PyTorch

TensorFlow

Anthropic Claude API

OpenAI API

Azure OpenAI

RAG

Pinecone

Weaviate

pgvector

FAISS

Tool-use frameworks

Docker

Kubernetes

REST API design

Git

CI/CD

Leadership

Tools

Docker

Kubernetes

REST API design

Git

Job description

Job Description

The Lead AI Engineer is the technical anchor for the company's AI Engineering & Operations team. This role owns the architecture, design patterns, and technical direction for all AI agent development — from RAG pipelines and MCP integrations to evaluation frameworks and production deployment. The Lead AI Engineer builds production AI systems, mentors a growing team of AI engineers, and translates the AI program strategy into shipped, working systems.

This is a hands‑on leadership role. You write code, review code, and set the patterns that the rest of the team follows.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to [e-mail] learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Skills and Requirements

Must Have

• Languages: Python (primary), SQL
• AI/ML Frameworks: LangChain or LangGraph, Hugging Face Transformers, PyTorch or TensorFlow
• LLM Experience: Production experience with Anthropic Claude API, OpenAI API, or Azure OpenAI — including prompt engineering, chain-of-thought design, and system prompt architecture
• RAG: End-to-end RAG pipeline experience — embedding models, vector databases (Pinecone, Weaviate, pgvector, FAISS), retrieval optimization
• Agentic Systems: Experience building multi-step agent workflows with tool use in production
• Evaluation: Experience designing and running evaluation pipelines for AI/ML systems
• MLOps: MLflow, experiment tracking, model versioning, CI/CD for ML
• Cloud: Azure AI Studio/Foundry, or AWS Bedrock, or GCP Vertex AI
• Infrastructure: Docker, Kubernetes basics, REST API design
• Version Control: Git, code review practices, CI/CD pipelines
• Leadership: 2+ years leading or mentoring engineering teams

Strong Preference

• MCP (Model Context Protocol) or equivalent tool-use framework experience
• Fine-tuning and RLHF experience
• LLM observability tools (LangSmith, Arize, Helicone, Weights & Biases)
• TypeScript/JavaScript for full-stack agent interfaces
• Experience with guardrail frameworks (Guardrails AI, NeMo Guardrails)
• Azure AI certifications (AI-102 or Azure AI Apps and Agents Developer Associate)

Nice to Have

• MS or PhD in AI/ML, Computer Science, or related field
• Manufacturing or industrial sector experience
• Experience with computer vision (OpenCV, YOLO)
• AWS Certified Generative AI Developer Professional
• Google Professional ML Engineer certification