Company: Tenarai

Website: Visit Website

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Business Type: Enterprise

Company Type: Product & Service

Business Model: B2B

Funding Stage: Series A

Industry: Information Technology

Salary Range: ₹ 25-45 Lacs PA

Job Description

Role Overview

Lead the development and deployment of enterprise AI/ML solutions.
Work closely with Microsoft / McKinsey technical and architecture teams.
Translate architectural designs into scalable, production-ready systems.
Build LLM and Agentic AI applications.
Technically validate and challenge architecture decisions.
Lead engineers while remaining hands-on with coding and implementation.
Ensure strong engineering practices, quality, security, scalability, and reliability.

Key Responsibilities

Lead AI/ML solution build, deployment, and implementation.
Supervise and mentor the engineering team.
Review and validate architecture proposed by external partners/architects.
Translate architecture and design patterns into production implementations.
Build reusable frameworks, core components, and reference implementations.




Own code quality, testing, engineering standards, and MLOps.
Conduct code reviews and establish best practices.
Implement Git, CI/CD, secure coding, testing, and evaluation practices.
Identify technical risks, dependencies, and design gaps.
Lead development of:
LLM applications
RAG solutions
AI Agents / Agentic AI
LLM orchestration
Tool/function calling
LLM evaluation frameworks
Provide technical guidance and mentorship.
Support knowledge transfer to client/AM teams.
Ensure solutions are production-ready, scalable, secure, reliable, and maintainable.
Required Skills & Experience

8–11 years of experience in Software Engineering, AI Engineering, or ML Engineering.
Strong recent hands-on coding experience.
Robust Python proficiency.
Strong experience with TensorFlow and/or PyTorch.
Proven experience building and deploying LLM / Generative AI / Agentic AI solutions in production.
Hands-on experience

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