Java Fullstack Lead (Gen AI)

In this role, you will be leading engineering for our AI flagship capability - DCREST. You'll be working across a wide stack of services, from generative AI and machine learning capabilities through to integration services. This role expects you to be hands-on engineering, leading by example to build a first-in-class solution that's iteratively delivered into the hands of our users. It also expects you to be influencing the wider group of engineers, architects and the business to ensure we are building the right products in the right ways. YOUR PROFILE

• You will be designing and building solutions, using microservice architecture, working closely with the product team to understand the requirements and impact of changes being made.
• You will be working to release change to production every day, across the entire team - owning requirements through discussions with the business through to development, testing, release to and support of production.
• You will be expected to collaborate with cross-functional teams to deliver high-impact solutions.
• You will be driving the development and troubleshooting of backend systems and AI/ML models.
• You will be driving the delivery of document data extraction and unstructured data processing capabilities.

Do you have experience in REST?, * Strong experience delivering product to production, at pace.

• Extensive experience developing microservices using highly iterative methods to deliver change to production regularly. Experience delivering microservices without using frameworks like SpringBoot is a plus.
• Proven experience with Azure OpenAI/ChatGPT and cloud-based AI solutions.
• Strong background in backend technologies and scalable software architecture.
• Expertise in developing and consuming REST APIs.
• Given AI is an ever-evolving field, and appetite to keep learning and staying on top of latest developments to drive to team to stay at the forefront of technology developments.
• Experience with cloud platforms.
• Familiarity with DevOps practices and CI/CD pipelines.
• Industry experience delivering AI/ML solutions to production - particularly including hands on experience with generative AI and prompt engineering.

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.