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hirist

AI Lead Engineer

HRBP Global; ThinkLab & Solutions
4 - 9 Years
Multiple Locations

Posted on: 27/10/2026

Job Description

AI Lead Engineer Enterprise AI Products

Location : Mohali (On-site)

Reports To : CTO

Employment Type : Full-Time

Joining Preference
: Immediate Joiner / Candidates serving short notice period

About the Opportunity :

We are looking for a high-caliber, hands-on AI Lead Engineer to drive the development and delivery of next-generation AI-powered enterprise products. This role is ideal for a technically strong professional who combines deep AI expertise with product ownership, execution excellence, and leadership capability.

Working directly with the CTO, you will play a key role in architecting, building, and scaling AI solutions that deliver measurable business value for enterprise customers.

Key Responsibilities :

- Lead end-to-end development and delivery of AI-powered enterprise products.

- Design scalable AI architectures leveraging Generative AI, LLMs, RAG, AI Agents, NLP, and Machine Learning.

- Translate business requirements into production-ready AI solutions.

- Drive technical decision-making, architecture reviews, and engineering best practices.

- Build, deploy, monitor, and optimize AI/ML models and applications in production environments.

- Collaborate closely with Product, Engineering, Customer Success, and Leadership teams.

- Mentor engineers while remaining actively involved in coding, design, and problem-solving.

- Ensure timely delivery, quality, scalability, security, and performance of AI solutions.

Desired Candidate Profile :

Must Have :

- 3 - 5 years of successful experience in AI product development and delivery ownership.

- Demonstrated track record of launching and scaling production-grade AI applications.

- Strong hands-on expertise in Python and modern AI/ML frameworks.

- Experience with :

1. Generative AI

2. Large Language Models (LLMs)

3. Retrieval-Augmented Generation (RAG)

4. AI Agents & Agentic Workflows

5. Prompt Engineering

6. Vector Databases

7. LangChain / LlamaIndex

8. Machine Learning & NLP

- Experience with cloud platforms (AWS, Azure, or GCP).

- Strong understanding of APIs, microservices, CI/CD, MLOps, and scalable software architecture.

- Excellent communication, stakeholder management, and team collaboration skills.

Preferred :

- B.Tech/M.Tech from premier institutions such as IITs, IISc, IIITs, NITs, or equivalent.

- Experience in Enterprise SaaS, AI Platforms, Automation Products, or B2B Technology Products.

- Exposure to multi-agent systems, AI orchestration frameworks, and advanced GenAI architectures.

- Prior experience leading small engineering teams or mentoring developers.

Ideal Candidate :

A hands-on builder with a strong product mindset, proven AI delivery experience, excellent communication skills, and the ability to partner closely with the CTO to create scalable, market-leading enterprise AI products. Candidates available for immediate joining or with short notice periods will be strongly preferred.

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