Fullstack Gen AI Developer
⚲ Gdańsk, Katowice, Kraków, Lublin, Opole, Poznań, Warszawa, Wrocław
Do uzgodnienia
Wymagania
- Python
- SQL
- AWS
- Microsoft Azure
- Google Cloud Platform
- Terraform (nice to have)
- GitHub (nice to have)
- Kubernetes (nice to have)
Opis stanowiska
Wymagania:
- 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.
Mile widziane:
- 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.
O firmie:
- Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of over 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2025 global revenues of €22.5 billion.
Zakres obowiązków:
- 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.
Oferujemy:
- 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.
- 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.
Mile widziane:
- 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.
O firmie:
- Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of over 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2025 global revenues of €22.5 billion.
Zakres obowiązków:
- 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.
Oferujemy:
- 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.
🔍 Dekoder Ogłoszenia
🔴
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.
Szukają kogoś, kto już pracował z GenAI w sektorze finansowym, a nie kogoś, kto dopiero zaczyna się uczyć.
🔴
Very good Python and SQL skills, with hands on experience in cloud based data platforms and databases, supporting end to end LLM based solutions.
Oczekują głębokiej wiedzy technicznej i praktycznego doświadczenia w pracy z danymi w chmurze, a nie tylko podstawowej znajomości.
🟡
Strong communication skills and the ability to explain technical and AI related concepts to non-technical stakeholders.
Będziesz musiał często tłumaczyć skomplikowane zagadnienia techniczne i związane z AI osobom nietechnicznym.
🔴
Hands on exposure to infrastructure and automation tools such as Terraform, GitHub CI/CD, Kubernetes or similar platforms.
Chociaż jest to "mile widziane", praktyczne doświadczenie w tych obszarach może być kluczowe dla codziennej pracy.
🟡
Basic knowledge of architecture design principles across IT and AI systems.
Oczekują pewnego zrozumienia projektowania systemów, nawet jeśli nie jest to główny zakres obowiązków.