Product Engineer

Capgemini; Bengaluru; Hybrid; INR 1,500,000 - 2,100,000; Full time

Benefits offered by this job

Competitive salary & bonuses

Health insurance & pension plan

Training & development opportunities

Flexible work arrangements (remote/ons

Dynamic, inclusive culture

Job summary

Capgemini is seeking an ambitious Product Engineer with 3–5 years of software experience to build user-facing products powered by distributed cloud architectures and agentic AI systems.

You will work across the full stack, from concept to production, collaborating with product and design teams and delivering end-to-end features in a fast-paced, global environment.

Qualifications

• Bachelor’s or Master’s degree in Computer Science or a closely related field from a Tier 1 institution.
• 3–5 years of software engineering experience at a product-first technology company (startup environment or Product Development org.).
• Product mindset with exposure to the Product Development Lifecycle (PDLC) and iterative shipping.

Responsibilities

• Develop and maintain full-stack features using Python, JavaScript/TypeScript, and modern cloud infrastructure.
• Implement agentic loops and RAG pipelines to integrate generative AI capabilities into core product workflows.
• Build and refine APIs, middleware, and microservices on cloud platforms to support reliable data flow and low latency.
• Collaborate with product managers and engineers to iterate rapidly based on user feedback and feature telemetry.
• Write clean, testable code and participate in peer code reviews to maintain system quality.

Skills

Python

Java

JavaScript/TypeScript

Rust

API design

Education

Bachelor’s or Master’s in Computer Science or related field (Tier 1 institute)

Tools

RESTful APIs

GraphQL

Docker

Kubernetes

GCP/AWS

Job description

We are seeking an ambitious Product Engineer with 3 to 5 years of experience to help build user-facing products powered by distributed cloud architectures and agentic AI systems. You will work across the full stack, taking features from concept to production while collaborating directly with product and design teams.

Full-Stack & Web Architecture

• Core Languages: Fluency in Python, Rust,Java and JavaScript / TypeScript.
• Web Engineering: Hands-on experience developing RESTful/GraphQL APIs, web applications, and backend middleware services.
• Architecture: Firm foundation in web protocols, API design principles, and frontend-to-backend integration patterns.

Cloud & Distributed Infrastructure

• Cloud Platforms: Experience building and deploying cloud-native application services in GCP or AWS (e.g., Lambda/Cloud Functions, Cloud Run/ECS, PostgreSQL, DynamoDB, Pub/Sub, SQS).
• Delivery: Familiarity with containerization (Docker) and standard CI/CD deployment pipelines.

AI Engineering & Agentic Workflows

• Frameworks: Practical experience building LLM-backed tools and agent workflows using LangChain /LangGraph or LlamaIndex / CrewAI
• AI Architecture: Understanding of Retrieval-Augmented Generation (RAG) patterns, vector search (Pinecone, Chroma, Qdrant), and prompt orchestration.
• Agent Loops: Exposure to loop engineering, state management, and function calling / tool execution for autonomous LLM tasks.

Primary Responsibilities

• Develop and maintain full-stack features using Python, JavaScript/TypeScript, and modern cloud infrastructure.
• Implement agentic loops and RAG pipelines to integrate generative AI capabilities into core product workflows.
• Build and refine APIs, middleware, and microservices on cloud platforms to support reliable data flow and low latency.
• Collaborate with product managers and engineers to iterate rapidly based on user feedback and feature telemetry.
• Write clean, testable code and participate in peer code reviews to maintain system quality.

• Education: Bachelor’s or Master’s degree in Computer Science or a closely related field from a Tier 1 institution.
• Experience: 3 to 5 years of software engineering experience at a product-first technology company (startup environment or Product Development org.).
• Product Mindset: Strong exposure to the Product Development Lifecycle (PDLC)—comfortable shipping iteratively, analyzing user metrics, and taking feature ownership with exposure to loop engineering.

Competitive compensation and benefits package:

1. Competitive salary and performance-based bonuses
2. Comprehensive benefits package
3. Career development and training opportunities
4. Flexible work arrangements (remote and/or office-based)
5. Dynamic and inclusive work culture within a globally renowned group
6. Private Health Insurance
7. Pension Plan
8. Paid Time Off
9. 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/