{"id":3945295,"url":"https://alion.io/job/capgemini-senior-data-net-engineer","title":"Senior Data/.NET Engineer","company":{"id":145,"name":"Capgemini","domain":"capgemini.com","url":"https://alion.io/company/capgemini","size_band":"5000+","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Career site","truth_index":{"grade":"B","score":79,"open_postings":1779,"ghost_share":0.004,"stale_share":0.817,"repost_share":0.017,"time_to_fill_p50_days":30,"computed_at":"2026-11-08T05:47:12Z"}},"role":"Backend","role_family":"Backend","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Ukraine"],"countries":["UA"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"ASP.NET Core","optional":false},{"name":"C#","optional":false},{"name":"Embeddings","optional":false},{"name":"Function Calling","optional":false},{"name":"GraphDB","optional":false},{"name":"LLM","optional":false},{"name":"Semantic Search","optional":false},{"name":"CI/CD","optional":true},{"name":"Git","optional":true},{"name":"RAG","optional":true},{"name":"Structured Outputs","optional":true}],"status":"live","first_seen_at":"2026-11-05T17:17:31Z","employer_posted_date":"2026-11-05","last_verified_at":"2026-11-08T19:09:34Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"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.\nYOUR CLIENT\nOur 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.\nYOUR ROLE\nYou 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.\nYOUR TASKS\nWork with business and technical stakeholders to understand workflows and translate requirements into practical solutions.\nModel enterprise data as a graph: entities, relationships, identifiers.\nBuild data integrations: connectors, ingestion from APIs and databases, data quality investigation and transformation.\nDevelop backend services, APIs and user interfaces using C#/.NET and modern web technologies.\nBuild production AI features with LLMs: intelligent search, information extraction, question answering, workflow automation.\nScope work, make implementation decisions, demo progress and take solutions from prototype to production.\nContribute reusable components and improvements back to the platform.\nYOUR PROFILE\n3+ years of commercial software development experience.\nStrong engineering skills: design, implementation, testing and debugging of maintainable, production-quality code.\nExperience with C#/.NET; ASP.NET Core and API development are a strong advantage.\nUnderstanding 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.\nInterest in AI agents, tool use and multi-step workflows.\nFamiliarity with text processing, entity extraction, embeddings, semantic search or information retrieval is a plus.\nVersion control (Git) and CI/CD as part of normal delivery.\nAbility to investigate unfamiliar systems and raw data and solve problems independently.\nConfidence working directly with customers and explaining technical decisions.\nNice to have:\nFront-end experience.\nPractical AI engineering experience or a strong foundation: LLM APIs, prompting, structured outputs, RAG.\nSpeaking French.\nWhat you will love about working here?\nWe care about all our employees and want them to feel as comfortable as possible. That's why we offer them health insurance from the first days, regardless of the probationary period.\nThe gift from the company - Christmas holidays from 25 December to 31 December.\nСooperation with Superhumans center and Veteran HUB. Capgemini Engineering has supported the launch of psychological rehabilitation department of Superhumans. Our team also donnated over UAH 500 000 prosthetics for three Ukrainian defenders. Currently, we support psychological counseling provided by the Veteran Hub, and we have implemented a internal policy making the company friendly to military and veterans with the assistance of the Hub.\nCapgemini 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. 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