Capgemini Invent is looking for a skilled professional to build cutting-edge GenAI full-stack applications in Greater London. You will collaborate with the team to develop proof-of-concepts, scale them to production, and design solutions for various projects. Ideal candidates should have experience in backend and frontend development, familiarity with GenAI frameworks, and proficiency in AWS or Azure. The role offers hybrid working arrangements and focuses on continuous training and community engagement.
Qualifications
Experience in building microservices using Python (FastAPI) or TypeScript (Express).
Experience in building applications with React and TypeScript.
Familiarity with GenAI tools like LangChain and LangGraph.
Experiences with Large Language Models (LLMs) and tools like Ollama.
Proficient in AWS or Azure for cloud hosting.
Experience with Docker, Kubernetes, and Docker Compose.
Exposure to tools like Terraform for IaC.
Familiar with LLM monitoring tools.
Experience with CI/CD using GitLab or GitHub.
Familiar with vector databases and NoSQL databases.
Proficient in Git for version control.
Experience in an agile team environment.
Strong communication skills to deal with stakeholders.
Experience in leading projects and teams.
Responsibilities
Develop GenAI proof-of-concepts and production-ready solutions.
Support infrastructure for robust end-to-end solutions.
Contribute to proposals and participate in client events.
Engage in internal campaigns and community activities.
Access training for career enhancement and technology upskill.
Skills
Backend Development
Frontend Development
GenAI Frameworks
LLM experience
Cloud Platforms
Containerization and Orchestration
Infrastructure as Code
Monitoring Tools
CI/CD
Version Control
Agile Methodology
Communication Skills
Leadership
Job description
Capgemini Invent is looking for a skilled professional to build cutting-edge GenAI full-stack applications in Greater London. You will collaborate with the team to develop proof-of-concepts, scale them to production, and design solutions for various projects. Ideal candidates should have experience in backend and frontend development, familiarity with GenAI frameworks, and proficiency in AWS or Azure. The role offers hybrid working arrangements and focuses on continuous training and community engagement.