Lead Product Engineer

Capgemini; Chennai District; Hybrid; INR 2,500,000 - 4,000,000; Full time

Benefits offered by this job

Competitive salary

Bonuses

Comprehensive benefits

Career development

Flexible work arrangements

Private Health Insurance

Pension Plan

Paid Time Off

Training & Development

Job summary

Capgemini seeks a Lead Product Engineer with 5–7 years of software experience to architect and drive distributed cloud AI products. You will mentor engineers, define architectural patterns, and partner with product, design, and executive teams to turn vision into production-ready systems.

You will architect full-stack systems using Python, JS/TS, and cloud platforms, building agentic loops and RAG pipelines, while setting standards for API middleware and system security.

Qualifications

• Bachelor's or Master's degree in Computer Science or related field from a Tier 1 institution.
• 5 to 7 years of software engineering experience at a product-first company.
• Proven track record in technical leadership and end-to-end delivery.
• Strong product mindset and PDLC familiarity.
• Experience in full-stack development and web architecture.

Responsibilities

• Architect, scale and maintain full-stack systems and agentic AI applications.
• Lead design of enterprise-grade agentic loops and RAG pipelines.
• Establish standards for API middleware and performance/security best practices.
• Mentor engineers and conduct code reviews and system design sessions.
• Collaborate with Product/Design/Leadership to translate vision into roadmaps.

Skills

Python

Rust

Java

JavaScript/TypeScript

RESTful APIs

GraphQL

Microservices

Cloud computing

DevOps

Distributed systems

LangChain/LangGraph

LlamaIndex

CrewAI

Education

Bachelor's or Master's in Computer Science

Tier 1 institution

Tools

Docker

Kubernetes

AWS

GCP

PostgreSQL

DynamoDB

Pub/Sub

SQS

Serverless (Lambda/Cloud Functions)

Job description

We are seeking a Lead Product Engineer with 5 to 7 years of experience to architect and drive the execution of user-facing products powered by distributed cloud architectures and agentic AI systems. In this role, you will lead full-stack engineering initiatives, mentor junior/mid-level engineers, define core architectural patterns, and partner closely with product, design, and executive leadership to translate vision into production-ready systems.

Primary Responsibilities

• Architect, scale, and maintain full-stack systems and agentic AI applications using Python, JavaScript/TypeScript, and modern cloud infrastructure.
• Lead the design and implementation of enterprise-grade agentic loops and advanced RAG pipelines for core product features
• Establish engineering standards, set guidelines for API middleware, and drive system performance and security best practices.
• Mentor junior and mid-level engineers through code reviews, system design sessions, and technical guidance.
• Partner directly with Product Managers, Designers, and Leadership to translate business strategy into technical roadmaps and deliver features iteratively.

Requirements

• Education: Bachelor's or Master's degree in Computer Science or a closely related field from a Tier 1 institution.
• Experience: 5 to 7 years of software engineering experience at a product-first technology company (high-growth startup or core Product Development org.).
• Technical Leadership: Proven track record of technical leadership, mentoring engineers, driving architecture reviews, and owning end-to-end technical delivery.
• Product Mindset: Deep mastery of the Product Development Lifecycle (PDLC)—skilled in system trade-offs, iterative delivery, loop engineering, and using product telemetry to shape engineering decisions.
• Full-Stack & Web Architecture :
• Core Languages: Expertise in Python, Rust, Java, and JavaScript / TypeScript.
• Web Engineering: Deep experience designing high-throughput RESTful/GraphQL APIs, microservices, and backend middleware architectures.
• Architecture: Strong expertise in web protocols, low-latency API design, frontend-to-backend integration patterns, and system resilience.
• Cloud & Distributed Infrastructure :
• Cloud Platforms: Hands-on experience architecting and deploying cloud-native applications on GCP or AWS (e.g., Lambda/Cloud Functions, Cloud Run/ECS, PostgreSQL, DynamoDB, Pub/Sub, SQS).
• Delivery & DevOps: Strong command of containerisation (Docker, Kubernetes) and designing robust CI/CD pipelines and infrastructure-as-code.
• AI Engineering & Agentic Workflows :
• Frameworks: Production experience building complex, multi-agent workflows and LLM applications using LangChain, LangGraph, LlamaIndex, or CrewAI.
• AI Architecture: Advanced knowledge of Retrieval-Augmented Generation (RAG) patterns, vector databases (Pinecone, Chroma, Qdrant), semantic cache, and prompt orchestration.
• Agent Loops: Deep expertise in state machine design, memory management, tool integration, and guardrails for autonomous, self-correcting LLM agent loops.

Benefits

Competitive compensation and benefits package:

• Competitive salary and performance-based bonuses
• Comprehensive benefits package
• Career development and training opportunities
• Flexible work arrangements (remote and/or office-based)
• Dynamic and inclusive work culture within a globally renowned group
• Private Health Insurance
• Pension Plan
• Paid Time Off
• Training & Development

Note: Benefits differ based on employee level.

About Capgemini

Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of over 340,000 team members in more than 50 countries. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. The Group €22.5 billion in revenues in 2023.

https://www.capgemini.com/us-en/about-us/who-we-are/