Senior Lead Engineer

Job Description

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

Your Role

As a Senior Lead Engineer for Neo Enterprise within Capgemini, you will be responsible for driving the technical delivery of Neo Enterprise capabilities across frontend, backend, AI/LLM services and integration layers. You will lead hands-on engineering work, guide developers and ensure that complex business requirements are translated into scalable, secure and production-ready solutions.

This role requires strong technical depth in Python-based AI/LLM/ML engineering, modern frontend development with React, backend development with JavaScript/Type Script, and enterprise platform integration. You will work closely with Product, Architecture, AI/ML, Data, Frontend, Routing Layer, Infrastructure, Security and Testing teams.

In this role you will play a key role in:

* Frontend Excellence:
Lead the design and implementation of highly interactive, scalable and user-centric interfaces using React or comparable frameworks, ensuring strong usability, accessibility and frontend performance.

* Robust Backend Engineering:
Architect, build and maintain secure, high-performance backend services using JavaScript/Type Script with Node.js frameworks such as Express.js or NestJS.

* AI/LLM Engineering with Python:
Develop and integrate Python-based AI/LLM capabilities, including orchestration flows, RAG pipelines, model interaction logic, evaluation routines and data-processing components.

* Full-Stack AI Product Delivery:
Connect frontend experiences, backend services and AI/LLM capabilities into reliable end-to-end product flows across UI, APIs, routing layer, data sources and cloud services.

* Translate functional specifications, product requirements and user journeys into robust technical solutions.

* Support the evolution of Neo's AI capabilities, including prompt orchestration, retrieval flows, context handling, model integration and response quality improvements.

* Collaborate with Architecture, Routing Layer, Apigee, Data and Backend teams to ensure secure, scalable and maintainable integration patterns.

* Drive technical problem-solving for complex AI platform topics, including latency, grounding quality, data flow, backend troubleshooting and integration issues.

* Ensure high engineering standards across code quality, testing, observability, performance, maintainability and production readiness.

* Mentor engineers, review technical designs and code, and support consistent delivery practices across the Neo Enterprise engineering team.

Your Profile

* Bachelor's or Master's degree in Computer Science, Engineering, Data Science, AI or a related field.

* Strong hands-on experience in software engineering, ideally in AI/ML, LLM, platform, cloud or enterprise product environments.

* Extended Python expertise in the context of AI, LLM and ML solutions, including backend service development, data processing, model integration, orchestration, evaluation and automation.

* Strong frontend development experience with React or comparable modern frontend frameworks.

* Strong backend development experience with JavaScript/Type Script, Node.js and frameworks such as Express.js or NestJS.

* Solid understanding of AI/ML concepts, LLM-based application patterns, RAG, embeddings, vector search, prompt engineering, model evaluation and LLM orchestration.

* Experience with Python frameworks and tools such as FastAPI, Flask, Lang Chain, Lang Graph, Pytest, Pandas, Num Py or similar ecosystems.

* Experience designing and consuming APIs, building microservices and integrating services across frontend, backend and AI layers.

* Experience integrating with cloud platforms, preferably GCP, including Cloud Run, Big Query, Firestore, Cloud Storage, Vertex AI or Apigee.

* Solid understanding of authentication, authorization, RBAC,…