{"id":1174576,"url":"https://alion.io/job/planet-ai-engineer","title":"AI Engineer","company":{"id":711629,"name":"Planet","domain":"weareplanet.com","url":"https://alion.io/company/weareplanet","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":90,"open_postings":10,"ghost_share":0,"stale_share":0.4,"repost_share":0,"time_to_fill_p50_days":38,"computed_at":"2026-09-25T05:45:01Z"}},"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":["Porto, Portugal"],"countries":["PT"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":42000,"max_usd":106000,"period":"year","method":"role_country_seniority_unknown","sample_n":24},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AWS Step Functions","optional":false},{"name":"CI/CD","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"Python","optional":false}],"status":"live","first_seen_at":"2026-09-24T10:54:41Z","employer_posted_date":"2026-09-24","last_verified_at":"2026-09-25T19:02:38Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"About Planet\nPlanet is a global provider of integrated technology and payments solutions for retail and hospitality customers.\nWe create great experiences for the millions of people who use our payments, software, and tax-free solutions every minute of every day.\nPlanet empowers its customers to deliver great customer experiences by combining payments and software in ways that drive greater loyalty, increase revenue and save time.\nFounded over 35 years ago and with our headquarters in London, today we have more than 2,500 employees located across six continents serving our customers in more than 120 markets.\nRole Overview:\nThis role owns the design, delivery, and ongoing behaviour of production AI workflows that automate and augment work across Planet’s internal systems - HR, Finance, Operations, and CRM. You will be accountable not only for shipping the technology, but for the quality of the decisions it makes: building agents, prompts, and retrieval pipelines that business users can trust, and improving them over time through measurement and real-world feedback. The impact is direct - reliable, auditable AI that reduces manual effort and raises the quality and speed of everyday decisions across the business.\nWhat you will do:\nDesign and build production-grade AI workflows that integrate across internal systems (HR, Finance, Operations, CRM).\nImplement the orchestration logic - triggers, retries, fallbacks, and human-in-the-loop patterns - so workflows run reliably, observably, and auditably.\nDevelop and maintain the AI agents, prompts, retrieval pipelines, and decision logic that power those workflows.\nOwn model behaviour in production: accuracy and usefulness, failure modes, and edge-case and ambiguity handling.\nIterate on model performance using evaluation frameworks, feedback loops, and real-world usage data.\nTake accountability for decision quality and outcomes - not just technical execution - defining and tracking success metrics such as accuracy, resolution rate, and time saved.\nDiagnose cases where systems are technically “working” but producing poor outcomes, and close the gap.\nPartner with Data Engineering on shared platforms (infrastructure, CI/CD, data pipelines, security and governance) and contribute to shared standards, schemas, and best practices for AI systems.\nWho you are:\nStrong software engineering background (Python or similar), with a track record of building production systems - not just prototypes.\nHands-on experience with AI / ML systems (LLMs, classifiers, decision models, or similar).\nExperience integrating APIs and working with distributed systems.\nExperience designing prompts, retrieval pipelines, or ML inference workflows.\nSolid understanding of model evaluation, monitoring, and feedback loops; comfortable working with both structured and unstructured data.\nProduct-oriented - cares about outcomes, not just shipping code; pragmatic about AI and focused on what works in production.\nComfortable owning ambiguity and making trade-offs.\nLanguages: English\nA plus, but not required: workflow orchestration tools (Temporal, Airflow, Step Functions); experience building internal tools or agents; familiarity with regulated or enterprise environments; exposure to MLOps or AI evaluation frameworks.\nWhy Planet:\nPlanet is an equal opportunity employer where diversity is valued, and all employment is decided based on qualifications, merit, and business need.\nCome and grow your career in the most exciting, fast paced technology market, with a business that delivers feel-good connected commerce.\nWe would love to hear from you - Apply now.\nAt Planet, we embrace a hybrid work model, with three days a week in the office.\nReasonable accommodations may be made in order to allow for an individual to perform the essential functions of this role successfully.","description_format":"text","description_chars":3833,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[{"language":"English","level":"All levels","optional":false}]},"benefits":["Hybrid work"],"hiring_locations":[{"name":"Portugal","iso":"PT","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Payment Processing & Gateways","Travel Technology","Currency Exchange & FX Payments"],"lifecycle":[{"event":"open","at":"2026-09-24T10:54:41Z"}],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":0,"expected_fill_days":38,"reasons":["conf:0","velocity","win:early"],"computed_at":"2026-09-25T05:45:01Z"},"pay":null,"html_url":"https://alion.io/job/planet-ai-engineer","json_url":"https://alion.io/job/planet-ai-engineer.json","meta":{"generated_at":"2026-09-26T00:27:17Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":366,"day_limit":5000,"remaining_today":4634,"minute_limit":60,"resets_at":"2026-09-27T00:00:00Z"}}}