Full Stack Developer + AI NCR/Mumbai/Pune Exp - 12+ Yrs Hybrid

We are seeking a talented individual to join our Oliver Wyman team. This role will be based in Gurugram/Pune/Mumbai (any). This is a hybrid role that has a requirement of working at least three days a week in the office.

The Role

We are seeking an experienced Senior Full-Stack Engineer, Generative AI to design, build, and operate enterprise-grade AI-enabled solutions across our technology organization. This role is for a senior individual contributor who combines strong hands-on engineering skills with sound technical judgment and the ability to raise the quality of delivery within a team or domain.

You will work on complex, real-world problems, developing AI-enabled web applications across the full stack using modern frontend and backend technologies, Large Language Models (LLMs), and cloud infrastructure. You will play a key role in evolving solutions from early proof of concept through to scalable, production-ready systems used by internal and external stakeholders.

In this role, you are relied upon to ensure solutions meet enterprise standards for security, reliability, scalability, maintainability, and testability, and to help teams apply generative AI responsibly and effectively in production environments.

What we will rely on you to do

Lead the technical design and delivery of complex, AI-enabled features or services.

Design, build, and evolve full-stack applications using modern frontend and backend frameworks.

Build and maintain robust, high-performance APIs using NestJS / NodeJS or FastAPI / Python.

Integrate Large Language Model (LLM) capabilities into production systems, selecting appropriate patterns, tools, and architectures.

Guide the evolution of proofs of concept into production-ready, scalable solutions within enterprise constraints.

Own technical solutions end-to-end, including design, implementation, deployment, and operational readiness.

Make sound engineering decisions that balance security, scalability, reliability, maintainability, and testability.

Act as a hands-on engineer: write production code, review code, and contribute to testing and observability.

Champion strong engineering practices, including code quality, testing, CI/CD, and documentation.

Identify opportunities for reuse and contribute to shared components, patterns, and standards.

Collaborate closely with product, architecture, security, and platform teams in an Agile delivery environment.

Provide technical guidance and mentorship to other engineers through design discussions and example.

Contribute to continuous improvement of engineering practices within the team or domain.

What you need to have

14+ years of professional software engineering experience, including building and operating production systems.

2+ years of hands-on experience working with Large Language Models (LLMs) in applied or production contexts.

Strong proficiency in a modern frontend framework, ideally React with TypeScript.

Deep hands-on experience with NodeJS / NestJS and/or Python (FastAPI or Django).

Strong understanding of API design, distributed systems, and service-oriented architectures.

Proven experience deploying, operating, and supporting systems in cloud environments.

Experience working in Agile delivery teams and collaborating across disciplines.

Strong communication skills, with the ability to explain technical concepts to a range of audiences.

Sound engineering judgment and a pragmatic, delivery-focused mindset.

What makes you stand out

We do not expect experience in all areas below. Strong senior engineers typically demonstrate depth in some areas and familiarity with others.

Experience designing or implementing Retrieval-Augmented Generation (RAG) systems in applied or production contexts.

Experience evaluating and selecting GenAI frameworks or tools (e.g., LangChain, LangGraph, LlamaIndex, CrewAI) based on problem context.

Experience with AI agents, orchestration patterns, or workflow-based AI systems, including understanding when such approaches are appropriate.

Familiarity with prompt engineering, evaluation techniques, and guardrails for LLM-based systems.

Experience with cloud-native architectures, CI/CD pipelines, and infrastructure-as-code.

Understanding of security-driven design and how to address common application or platform vulnerabilities in enterprise systems.

Why join our team The opportunity to build and influence enterprise-scale generative AI solutions

Meaningful technical ownership without people-management responsibilities A collaborative, inclusive engin