{"id":1991091,"url":"https://alion.io/job/dellent-consulting-backend-ai-developer","title":"Backend AI Developer","company":{"id":3807099,"name":"Dellent Consulting","domain":"dellentconsulting.com","url":"https://alion.io/company/dellent-consulting","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":"teamlyzer.com","ats_vendor":"Career site","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Porto, Portugal"],"countries":["PT"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":31000,"max_usd":77000,"period":"year","method":"role_seniority_country_cell","sample_n":8},"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Java","optional":false},{"name":"Quarkus","optional":false},{"name":"Claude Code","optional":true},{"name":"Copilot","optional":true},{"name":"GitLab","optional":true},{"name":"LLM","optional":true},{"name":"Model Context Protocol","optional":true},{"name":"RAG","optional":true}],"status":"live","first_seen_at":"2026-10-06T00:00:00Z","employer_posted_date":"2026-10-06","last_verified_at":"2026-10-06T00:00:00Z","board_verified":false,"closed_at":null,"days_open":6,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":6},"description":"Sobre a vaga\nIn this project, you will work in a dynamic and innovation-driven environment focused on shaping the future of mobility. You will contribute to digital solutions that support smarter, more efficient and sustainable mobility services, helping improve product quality and user experience across a fast-evolving market.\nO que é pedido\n4+ years of hands-on experience in backend development\nExperience with Java. (Quarkus is a plus)\nPractical experience using AI-assisted development tools such as GitHub Copilot, GitLab Duo, Claude Code, or similar as part of a daily engineering workflow\nExperience designing and building APIs and Java-based microservices that run reliably at scale in production\nExperience writing automated unit and integration tests for backend systems\nAbility to understand the functional and business context of a feature before designing the technical solution\nCuriosity and willingness to experiment with new AI tools and integrate them responsibly into day-to-day development practices\nComfortable working in a fast-moving environment where AI-assisted development practices are still evolving\nStrong attention to detail, critical thinking, and problem-solving skills\nGood verbal and written communication skills in English\nCollaborative, adaptable, and able to manage multiple priorities effectively\nValorizado\nExperience with LLM-based integrations, Retrieval-Augmented Generation (RAG), or agent orchestration workflows\nFamiliarity with MCP (Model Context Protocol) or similar tool/context integrations that connect AI assistants to internal systems\nExposure to AI-native development practices beyond code completion, such as spec-driven development frameworks, custom prompt or skill libraries, and automation workflows\nO que é oferecido\nHealth insurance\nA personalized training plan, with a budget to spend on the training you find necessary\nConstant feedback so you can grow professionally\nRemote onboarding process\nTeam events every semester so you can live new adventures\nCulture of proximity and transparency\nResumo organizado por IA a partir do anúncio original. 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