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michelinhr

Lead Software Engineer

Pune · Senior

Expect moderate competitionVerified listingPosted 24d ago

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64Skills
97Experience

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Skills required

17 listed
Large Language Models (LLMs)Hugging FaceVector DatabaseTeam ProcessesSprint PlanningRetrieval-Augmented Generation (RAG)Application Programming Interface (API)Python (Programming Language)+9 more
Large Language Models (LLMs)Hugging FaceVector DatabaseTeam ProcessesSprint Planning

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Job description

Lead Software Engineer

- - - - - - - - - - - -

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


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Applicants who checked fit first are 3.1× more likely to hear back

Your match scoreFree · sign in
86Overall
64Skills
97Experience

Your score for this role already exists

ASAI compared this JD against 41 signals - skills, seniority, domain, stack overlap etc. Add a resume and it unlocks in about 30 seconds.

Always free · no credit card · 1 tap with Google

Free · no signup

Get tomorrow's jobs before you have to search

Daily job drops, skill trends and free resources - posted straight to the group. Leave any time.

Join WhatsAppJoin Telegram

No spam. Just jobs and resources.

Why people use ASAI

Someone shared one job with you. ASAI keeps finding the rest.

  • Scored, not searched. Every role ranked against your actual profile.

  • Alerts as often as hourly. Reach new roles while the pile is still small.

  • Skill gaps, spelled out. See exactly which requirements you don't meet yet.

  • Verified jobs, only. Say no to ghost jobs. Your time deserves respect.

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