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

• Collaborate with the team to develop GenAI proof-of-concepts (POCs) for clients using technologies like Retrieval-Augmented Generation (RAG) and intelligent agents.
• Scale existing POCs to production-ready solutions for customer use.
• Design and develop FullStack applications for both GenAI and non-GenAI projects.
• Support the development of infrastructure to enable robust end-to-end solutions.
• Grow your skills by exploring and experimenting with emerging technologies, including GenAI.
• Share your expertise by coaching and mentoring team members, fostering skill development within the team.

Additional Opportunities

This role offers avenues for both personal and business growth through contributions in the following areas:

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 organization's offerings and capabilities.

Learning and Development

• Access training and certifications to enhance your career and align with company needs.
• Stay at the forefront of technological advancements by upskilling in high-demand areas like GenAI.

• You need to hold an active SC (Security Check) Clearance or be eligible for such level of clearance., * Backend Development: Experience in building microservices using either Python with FastAPI, or TypeScript with Express or equivalent
• Frontend Development: Experience in building React applications using TypeScript, leveraging frameworks such as Next.js or Vite.
• GenAI Frameworks: Familiarity with tools like LangChain, LangGraph, CrewAI, or Vercel AI (in Python or JavaScript).
• LLM experience: Practical experience with Large Language Models (LLMs) such as OpenAI, Anthropic, Mistral, or Llama, and tools like Ollama.
• Cloud Platforms: Proficiency in AWS or Azure for hosting and deployment.
• Containerization and Orchestration: Hands-on experience with Docker, Kubernetes, and Docker Compose.
• Infrastructure as Code (IaC): Exposure to tools like Terraform.
• Monitoring Tools: Familiarity with LLM monitoring tools like Langsmith, Langfuse, or similar.
• CI/CD: Experience with continuous integration and deployment tools such as GitLab, GitHub, or Jenkins.

Database Management

• Vector Databases: Experience with and (but not limited to) ChromaDB, Pinecone, PGVector, MongoDB , Qdrant etc.
• NoSQL: Familiarity with NoSQL databases (e.g., MongoDB preferred).
• SQL: Experience working with SQL databases like PostgreSQL.

Version Control

• Proficient in Git and version control platforms like GitHub, GitLab, etc.

Work Methodology

• Experience working in an agile team environment.

Communication Skills

• Ability to effectively communicate with internal and external stakeholders, adapting your approach based on the audience and context.

We offer a remuneration package which includes flexible benefits options for you to choose to suit your own personal circumstances and a variable element dependent grade and on company and personal performance.

Capgemini ist einer der weltweit führenden Anbieter von Management- und IT-Beratung, Technologie-Services und Digitaler Transformation. Als ein Wegbereiter für Innovation unterstützt das Unternehmen seine Kunden bei deren komplexen Herausforderungen rund um Cloud, Digital und Plattformen.