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Genai full stack engineer - consultant / senior consultant - digital excellence

Manchester
Permanent
Capgemini Invent
Full stack engineer
Posted: 8 December
Offer description

GenAI Full Stack Engineer – Consultant / Senior Consultant – Digital Excellence

Capgemini Invent invites applicants for the role of GenAI Full Stack Engineer. This position blends strategic, creative and scientific capabilities to deliver cutting‑edge GenAI solutions for clients.


Role Details

* SBU: Invent
* CU: Business Technology
* Global Grade: B


Your Role

* Collaborate with the team to develop GenAI proof‑of‑concepts (POCs) for clients using technologies such as Retrieval‑Augmented Generation (RAG) and intelligent agents.
* Scale existing POCs to production‑ready solutions.
* Design and develop Full‑Stack applications for GenAI and non‑GenAI projects.
* Support the development of infrastructure to enable robust end‑to‑end solutions.
* Explore and experiment with emerging GenAI technologies.
* Coach and mentor team members, fostering skill development within the team.


Additional Opportunities


Business Development

* Lead or contribute to proposals, RFPs, bids, and client pitches.
* Develop innovative propositions and participate in client‑hosting events.


Internal Initiatives

* Engage in campaign development, internal think tanks and whitepapers.
* Contribute to practice operations, recruitment and team‑building activities.
* Help shape the organisation’s offerings and capabilities.


Learning and Development

* Access training and certifications to enhance your career and align with company needs.
* Upskill in high‑demand areas like GenAI.


Your Profile


Eligibility

* Hold an active SC (Security Check) clearance or be eligible for such clearance.


Technical Expertise

* Backend Development: experience in building microservices using Python with FastAPI, or TypeScript with Express or equivalent.
* Frontend Development: experience building React applications using TypeScript and frameworks such as Next.js or Vite.
* GenAI Frameworks: familiarity with LangChain, LangGraph, CrewAI or Vercel AI.
* LLM experience: practical experience with large language models such as OpenAI, Anthropic, Mistral or Llama, and tools like Ollama.
* Cloud Platforms: proficiency in AWS or Azure.
* Containerisation & Orchestration: hands‑on experience with Docker, Kubernetes and Docker Compose.
* IaC: exposure to Terraform.
* Monitoring Tools: familiarity with LLM monitoring tools such as Langsmith, Langfuse or similar.
* CI/CD: experience with GitLab, GitHub or Jenkins.


Database Management

* Vector databases: experience with ChromaDB, Pinecone, PGVector, MongoDB, Qdrant etc.
* NoSQL: familiarity with NoSQL databases (e.g., MongoDB).
* SQL: experience with PostgreSQL.


Version Control

* Proficient in Git and platforms like GitHub, GitLab.


Work Methodology

* Experience working in an agile team environment.


Communication Skills

* Ability to communicate effectively with internal and external stakeholders, adapting to the audience and context.


Benefits & Culture

* Culture of learning, ownership and value creation.
* Comprehensive training and certifications across cloud, programming, DevOps and cybersecurity.
* Recognition as one of the world’s most ethical companies (Ethisphere Institute, 10th year).
* Annual wellbeing support including mental health champions and apps.


Location & Working Arrangements

Office base: London, Manchester or Glasgow. This role requires full flexibility for assignment locations, which may include travel.


Equal Opportunity Statement

Capgemini is an equal‑opportunity employer. We actively foster inclusive working environments and support flexible working arrangements.


Application Process

All applicants must provide documentary proof of entitlement to live and work in the UK before commencing employment.

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