Job Title: AI Engineer
Capgemini Financial Services is building a new AI Engineering Innovation team to design and deliver next-generation AI solutions for strategic business use cases. The team already includes experienced technologists, and we are expanding with AI engineers and developers who are passionate about solving complex technical challenges using modern AI, large language models (LLMs), and cloud‑native engineering.
If you are a strong Python developer with hands‑on experience in AI engineering, agentic frameworks, and enjoy working in fast‑paced, collaborative environments, this is the role for you.
Hybrid working
The places that you work from day to day will vary according to your role, your needs, and those of the business; it will be a blend of Company offices, client sites, and your home; noting that you will be unable to work at home 100% of the time.
Your Role
* Develop scalable AI/LLM-based solutions using Python, LangChain, LangGraph, and related agentic frameworks
* Build, optimize, and deploy agentic AI workflows, multi‑agent architectures, and retrieval‑augmented generation (RAG) systems
* Contribute to the design and implementation of LLM observability, evaluation workflows, prompt monitoring, and model performance instrumentation
* Collaborate with Data Scientists and AI Engineers to integrate machine learning models into production systems
* Participate in architectural discussions, technical design reviews, and code reviews
* Drive continuous improvement through innovation, experimentation, and rapid prototyping
* Work closely within cross‑functional and globally distributed teams, contributing to team culture, knowledge sharing, and engineering best practices
Your Skills
* Strong hands‑on experience as a Python Developer with solid coding, debugging, and problem‑solving skills
* Practical experience in AI engineering, with exposure to building LLM‑based or agentic AI solutions
* Familiarity with LangChain, LangGraph, or similar agentic/LLM orchestration frameworks
* Understanding of LLM observability, evaluation metrics, prompt evaluation, guardrails, and model lifecycle management
* Good understanding of data structures, algorithms, and integration patterns
* Strong team player with the ability to learn quickly, adapt to new tools/technologies, and contribute in a greenfield environment
* Exposure to vector databases, embeddings, and retrieval‑augmented generation (RAG) architectures
* Knowledge of AI safety, governance, and responsible AI principles
* Experience in enterprise‑grade application delivery within banking or financial services
Disability Confident Employer
Capgemini is proud to be a Disability Confident Employer (Level 2) under the UK Government's Disability Confident scheme. We will offer an interview to all candidates who declare they have a disability, and who meet the minimum essential criteria for the role. Please opt in during the application process.
#J-18808-Ljbffr