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TALPRO INDIA PRIVATE LIMITED

Senior AI Product & Research Engineer (Consultant)

Posted 20 Minutes Ago
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In-Office
Mumbai, Maharashtra, IND
Senior level
In-Office
Mumbai, Maharashtra, IND
Senior level
Build, prototype, and scale enterprise AI products from proof of concept to production. Develop LLM systems, RAG pipelines, and agentic AI frameworks; lead AI product initiatives; create evaluation, safety, reliability, observability, and monitoring frameworks; conduct experimentation, benchmarking, and model validation; and collaborate with product and engineering teams to align solutions with business goals.
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Senior AI Product & Research Engineer (Consultant)

Experience: 8–12 Years

Location: Mumbai

Work Mode: Hybrid (3 days/week WFO mandatory)

Engagement: 12 Months C2H

Budget: 22 LPA

Joining: Immediate joiners only


Role Overview

We are looking for a Senior AI Product & Research Engineer who combines applied research expertise with hands-on product delivery. This role requires building, prototyping, and scaling enterprise AI systems from proof-of-concept to production.

The candidate must have deep experience in LLM systems, RAG architectures, and agentic AI frameworks.


Key Responsibilities
  • Design, prototype, and scale enterprise AI products.

  • Build and deploy LLM-based systems, RAG pipelines, and agentic AI frameworks.

  • Lead AI product initiatives from POC to production.

  • Define evaluation frameworks for performance, safety, and reliability.

  • Implement AI observability and monitoring systems.

  • Collaborate with product and engineering teams to align AI solutions with business goals.

  • Drive experimentation, benchmarking, and model validation.

Required Skills

✔ 8–12+ years delivering AI systems in enterprise environments

✔ Strong hands-on Python skills

✔ Experience with LLMs, RAG, Agentic AI systems

✔ Experience taking AI products from concept to production

✔ Experience with AI coding agents

✔ Strong understanding of evaluation, safety, and observability


Preferred
  • Experience in applied AI research

  • Exposure to AI governance and compliance standards

  • Strong architectural thinking and product mindset



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