{"id":2310183,"url":"https://alion.io/job/it-house-ai-engineer","title":"AI Engineer","company":{"id":4374583,"name":"IT House","domain":"ithouse.pt","url":"https://alion.io/company/it-house","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Lisbon, Portugal"],"countries":["PT"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":41000,"max_usd":102000,"period":"year","method":"role_country_seniority_unknown","sample_n":29},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"Azure","optional":false},{"name":"Context Engineering","optional":false},{"name":"Copilot","optional":false},{"name":"Cursor","optional":false},{"name":"Function Calling","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"SQL","optional":false},{"name":"Tool Use","optional":false}],"status":"live","first_seen_at":"2026-10-11T00:00:00Z","employer_posted_date":null,"last_verified_at":"2026-10-11T00:00:00Z","board_verified":false,"closed_at":null,"days_open":2,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":2},"description":"IT House is recruiting an AI Engineer for a client in the logistics sector, based in Lisbon.\nRESPONSIBILITIES\nDesign, build, and productionize AI applications, agents, and intelligent workflow components for business teams;\nBuild AI assistants and agents using modern GenAI engineering patterns and production-ready workflows;\nDesign and implement integrations with Azure AI services, Azure AI Foundry, APIs, enterprise systems, and data platforms;\nDevelop retrieval, tool-use, orchestration, evaluation, monitoring, and guardrail components for production AI solutions;\nCollaborate with data engineers and data scientists to connect models, prompts, workflows, and data pipelines into reliable end-to-end solutions;\nSupport the implementation of reusable agentic workflows across teams;\nImprove developer experience, engineering standards, and production readiness for AI software delivery.\nPROFILE\nStrong software engineering skills in Python and SQL;\nHands-on experience building GenAI applications, assistants, agents, or AI-enabled workflow automation;\nHands-on experience with Azure AI services, Azure AI Foundry, or comparable AI platforms;\nDeep understanding of RAG, prompt and context engineering, tool calling, evaluation, and orchestration;\nExperience with APIs, cloud-native services, data 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