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Work with business and technical stakeholders to understand workflows and translate requirements into practical solutions.
Build data integrations: connectors, ingestion from APIs and databases, data quality investigation and transformation.
Develop backend services, APIs and user interfaces using C#/.NET and modern web technologies.
YOUR TASKS Work with business and technical stakeholders to understand workflows and translate requirements into practical solutions. Model enterprise data as a graph: entities, relationships, identifiers.
Model enterprise data as a graph: entities, relationships, identifiers. Build data integrations: connectors, ingestion from APIs and databases, data quality investigation and transformation. Develop backend services, APIs and user interfaces using C#/.NET and modern web technologies.
Build data integrations: connectors, ingestion from APIs and databases, data quality investigation and transformation. Develop backend services, APIs and user interfaces using C#/.NET and modern web technologies. Build production AI features with LLMs: intelligent search, information extraction, question answering, workflow automation.
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From 36,472 similar postings that came down. Coming down is not always a hire.
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- Build data integrations: connectors, ingestion from APIs and databases, data quality investigation and transformation. - Develop backend services, APIs and user interfaces using C#/.NET and modern web technologies. - Build production AI features with LLMs: intelligent search, information extraction, question answering, workflow automation.
- Strong engineering skills: design, implementation, testing and debugging of maintainable, production-quality code. - Experience with C#/.NET; ASP.NET Core and API development are a strong advantage. - Understanding of graph data modeling (entities, relationships, identifiers); hands-on graph DB / graph query experience is a strong plus but can be learned on the project.
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At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.
Our client is a product company building an enterprise AI platform that unifies data from multiple business systems and turns it into AI-powered applications and workflows used in production by large international organizations.
You will be embedded with end customers, getting to know their processes and data and turning real business problems into working software. It’s a hands-on engineering role that spans the full cycle: integrating data from enterprise systems, designing data models, building APIs and user interfaces, and developing LLM-powered features and agents. You will take projects from the first workshop all the way to production and work closely with the platform’s core engineering team.
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Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.
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Kyiv, UA
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