Fullstack Gen AI Developer

Our requirements

• Practical banking/financial industry experience with Generative AI and/or Agentic AI, including LLM based workflows, prompt engineering and orchestration of multi-step AI or agent workflows.
• Very good Python and SQL skills, with hands on experience in cloud based data platforms and databases, supporting end to end LLM based solutions.
• Good understanding of cloud platforms such as AWS, Azure or GCP.
• Strong communication skills and the ability to explain technical and AI related concepts to non-technical stakeholders.
• Degree in Finance, Mathematics, Data Science or a related quantitative or technical field.

Optional

• Hands on exposure to infrastructure and automation tools such as Terraform, GitHub CI/CD, Kubernetes or similar platforms.
• Familiarity with financial workflows such as risk modeling, valuation, forecasting, regulatory reporting or fraud detection.
• Basic knowledge of architecture design principles across IT and AI systems.

Your responsibilities

• You will contribute to AI initiatives and support the delivery of modern AI solutions across the financial industry. Your responsibilities will include:
• Designing and implementing AI solutions, including Generative AI, LLM based workflows and Agentic AI components, supporting automated and assisted decision making in financial processes.
• Executing end to end testing of AI solutions and AI agent workflows, ensuring accuracy, reliability and alignment with business and regulatory expectations.
• Collaborating with SMEs and technical teams to design, implement and optimize data pipelines for AI model training, inference and agent execution.
• Evaluating model and agent performance, identifying opportunities for continuous improvement with a focus on accuracy, compliance, explainability and iterative enhancement.
• Identifying reusable Gen AI and Agentic AI components and patterns that can be leveraged across ongoing and future projects.

About the project

What we offer

• 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, Pluralsight, TED Talks, Coursera 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.

Benefits

• sharing the costs of sports activities
• private medical care
• life insurance
• no dress code
• parking space for employees
• extra social benefits
• redeployment package
• employee referral program
• charity initiatives
• access to courses e.g. Excel, VBA, RPA, Customer Care
• unlimited access to Udemy Business
• free chat/call with a therapist

Recruitment stages

• 1.
  Interview with the recruiter
• 2.
  Competency Tests/Language Verification
• 3.
  Video call with a manager
• 4.
  Final Decision

Capgemini Invent