Lead Software Engineer

Michelin · Pune Division

  • Experience5–7 yrs
  • SalaryNot disclosed
  • Work modeonsite
  • Posted22 Sept 2026
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About Michelin

Michelin is hiring in Pune Division in automotive mobility. This role looks for around 5+ years of experience.

Skills

  • Python
  • Node.js
  • Java
  • LangChain
  • LlamaIndex
  • Hugging Face
  • OpenAI API
  • Azure
  • AWS
  • GCP
  • Generative AI
  • Large Language Models
  • RAG architectures
  • AI pipelines
  • Agile

The role

A generative AI engineer at an automotive mobility company designs and industrializes Generative AI solutions using Large Language Models, RAG architectures, and AI pipelines, while building scalable backend systems and supporting enterprise adoption. The role also applies LangChain and cloud platforms to deliver secure, observable production capabilities.

Full job description

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Mission

Move from AI exploration to AI adoption by accelerating the software development lifecycle through measurable impact, real usage, and scaled adoption—delivering tangible results powered by the DRIVE program.

Key Expected Achievements

As part of a strategic initiative on Generative AI, you will design, build, and industrialize high visibility GenAI solutions.

You will work closely with innovation, data, and IT teams to deliver robust, scalable, and secure AI capabilities that integrate seamlessly with enterprise systems

Key Responsibilities

Design and develop AI powered applications integrating Large Language Models (LLMs), including RAG, embeddings, and agent-based components. Define and contribute to scalable GenAI architectures, ensuring robustness, performance, and industrial readiness. Implement APIs, microservices, and AI pipelines within an industrial cloud environment. Support client teams through scoping, technical expertise, architecture reviews, audits, and best practice guidance. Ensure solution quality, security, compliance, and observability, following governance and risk management standards.

Required Profile

Strong backend engineering experience in Python, Node.js, or Java. Proficiency with GenAI frameworks such as LangChain, LlamaIndex, Hugging Face, and OpenAI API. Hands on exposure to at least one major cloud platform (Azure, AWS, or GCP) and experience with demanding production grade industrial environments. Ability to operate effectively in large enterprise ecosystems: structured communication, rigor, and a strong service mindset. Experience with RAG architectures, vector databases, and MLOps pipelines is a strong plus.

Team Life & Ways Of Working

Embrace and respect Agile rituals, contributing actively to continuous improvement of team processes and collaboration. Participate in workload estimation for backlog items, challenging complexity and scope when needed. Contribute to sprint planning and allocation of tasks, supporting the delivery of incremental value and modernization of components (Evergreen approach).

Behavioural Skills

Planning & organizing,

Teamwork & Collaboration,

Customer Focus,

Continuous learning

Ability to rapidly learn and take advantage of new concepts, business models, and technologies

Working with internal and external stakeholders in an international environment.

Product approach mindset

Experience - 5-7 years