About this Lead Product Engineer role at Capgemini
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 containerization (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.
