Senior Lead Engineer (AI)

Nasze wymagania:
Degree in Computer Science, Engineering, AI, Data Science or equivalent practical experience
Strong hands-on experience in software engineering within AI/ML, LLM or platform environments
Advanced Python expertise, particularly in AI/LLM use cases such as orchestration, data processing and model integration
Strong experience with React and modern frontend development
Solid backend experience with JavaScript/TypeScript, Node.js and related frameworks
Good understanding of LLM-based architectures, including RAG, embeddings, prompt engineering and evaluation
Experience building APIs, microservices and integrated systems across frontend, backend and AI layersFamiliarity with cloud platforms (preferably GCP), secure enterprise delivery practices and modern development workflows, combined with strong problem-solving skills and a collaborative mindset

O projekcie:
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 at Capgemini, this role is responsible for driving the technical delivery of AI-powered capabilities across frontend, backend, and integration layers. It combines hands-on engineering with technical leadership, ensuring complex business requirements are translated into scalable, secure, and production-ready solutions. The position plays a key role in shaping Neo’s enterprise AI platform, working closely with cross-functional teams to deliver high-quality, end-to-end product experiences.

Zakres obowiązków:
Lead the design and implementation of scalable, user-centric frontend solutions using React
Architect and build high-performance backend services with JavaScript/TypeScript and Node.js frameworks
Develop and integrate Python-based AI/LLM solutions, including orchestration flows, RAG pipelines and model interaction logic
Connect frontend, backend and AI capabilities into end-to-end product flows across APIs, data sources and cloud services
Translate business requirements and user journeys into robust technical solutions
Evolve AI capabilities, including prompt orchestration, retrieval flows, context handling and response quality
Collaborate with cross-functional teams to ensure secure, scalable and maintainable integration patterns
Drive technical problem-solving and maintain high engineering standards across quality, performance and production readiness

Oferujemy:
Well-being culture: medical care with Medicover, private life insurance, and Sports card. But we went one step further by creating our own Capgemini Helpline offering therapeutical support if needed and the educational podcast "Let's talk about wellbeing" which you can listen to on Spotify.
Access to over 70 training tracks with certification opportunities (e.g., GenAI, Excel, Business Analysis, Project Management) on our NEXT platform. Dive into a world of knowledge with free access to Education First languages platform, TED Talks and Udemy Business materials and trainings.
Continuous feedback and ongoing performance discussions thanks to our performance management tool GetSuccess supported by a transparent performance management policy.
Enjoy hybrid working model that fits your life - after completing onboarding, connect work from a modern office with ergonomic work from home, thanks to home office package (including laptop, monitor, and chair). Ask your recruiter about the details.