{"id":2433654,"url":"https://alion.io/job/infiterra-senior-ai-engineer","title":"Senior AI Engineer","company":{"id":2497013,"name":"Infiterra","domain":"infiterra.com","url":"https://alion.io/company/infiterra","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":[],"countries":[],"hiring_countries":["GB","GR"],"hiring_countries_total":2,"salary":null,"salary_estimate":{"min_usd":42000,"max_usd":107000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":1986},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"Anomaly Detection","optional":false},{"name":"CI/CD","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Function Calling","optional":false},{"name":"Kubernetes","optional":false},{"name":"LLM","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Structured Outputs","optional":false},{"name":"Tool Use","optional":false},{"name":"LangChain","optional":true},{"name":"LangGraph","optional":true},{"name":"LLM Evaluation","optional":true},{"name":"Model Context Protocol","optional":true}],"status":"live","first_seen_at":"2026-10-13T06:40:51Z","employer_posted_date":"2026-10-13","last_verified_at":"2026-10-14T06:26:06Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"About Infiterra\nJoin our mission to grow and transform the subscription economy by simplifying subscription service delivery.\nInfiterra enables IT distributors, Managed Service Providers (MSPs), and telcos to succeed in the subscription economy. Our subscription commerce platform automates and unifies subscription workflows - from quote to bill- driving operational efficiency, billing accuracy, and scalable growth.\nRecognized as a global leader in subscription commerce, Infiterra combines innovation, performance excellence, and trusted expertise to help partners transform and grow.\nAbout The Role\nAs a Senior AI Engineer, you will be part of R&D and will design, build, evaluate and operate production AI systems that solve meaningful product and engineering problems.\nThis is an Applied AI Engineering role combining deep AI specialization, strong software engineering and business/domain understanding. You will work across LLM-based systems, retrieval, agents, tool use, predictive techniques and model adaptation/fine-tuning where appropriate - choosing the approach based on the problem and evidence rather than defaulting to one AI technique.\nYou will take complex AI capabilities end-to-end: from understanding an ambiguous business problem, through experimentation and solution design, to implementation, evaluation, deployment, monitoring and continuous improvement.\nThis is a fully remote senior individual-contributor role based in either Greece or the UK, with periodic in-person collaboration.\nOur AI engineering environment includes Python, cloud-native services, containers/Kubernetes, CI/CD, model APIs, retrieval and agent/tool frameworks, and evaluation/observability tooling. We choose technologies based on the problem rather than standardizing on one AI framework.\nWhat You Will Work On\nAI-native product engineering and knowledge systems that reconcile business knowledge from product, engineering and production evidence.\n\nAutomated and reusable vendor-integration capabilities, including the evolution of our Integration Hub from implementation automation toward learning from real integration outcomes.\n\nAI-assisted software delivery: analysis, requirements, implementation, testing, knowledge reuse, code review and delivery acceleration.\n\nAI-enabled quality and production intelligence, such as anomaly detection, failure-pattern analysis, data-quality/error detection and intelligent monitoring.\n\nPredictive, analytical or model-adaptation capabilities where evidence shows they are the right solution.\n\nWhat Success Looks Like\nIn your first 90 days, you will have developed a strong understanding of our platform and domain, contributed materially to a production AI capability, established meaningful evaluation evidence around your work, and identified opportunities where AI can create measurable product or engineering leverage.\nBy six months, you will independently own one or more complex production AI systems or workflows - evaluated, observable and operationally reliable - and will have introduced reusable technical knowledge or practices that improve how the wider engineering team builds with AI.\nSuccess is not measured by the number of AI features introduced. It is measured by business correctness, AI behavioural quality, engineering quality, production reliability and demonstrated value.\nWho You Are\nYou are comfortable being given a business problem rather than a detailed technical specification. You can experiment quickly, but you also do the harder engineering work required to make AI behaviour measurable, reliable and maintainable in production. You understand that AI output is not automatically truth, make assumptions and limitations explicit, and design evaluation and human controls according to risk. You are equally comfortable discussing model behaviour, APIs and distributed-system failures as you are understanding the business rules the system is expected to support.\nResponsibilities\nOwn the design, implementation, evaluation and production operation of complex AI systems involving multiple components, integrations or workflows.\n\nTranslate ambiguous business problems, rules and domain constraints into measurable AI/system behaviour.\n\nSelect the appropriate AI approach based on evidence - including prompting, retrieval, orchestration, predictive ML, model adaptation/fine-tuning or specialized models where justified.\n\nBuild production systems using model APIs, structured outputs, retrieval/RAG, agentic and tool-based workflows, predictive techniques and other appropriate AI patterns.\n\nDesign evaluation strategies covering functional behaviour, groundedness, business correctness, robustness and regressions.\n\nEstablish production monitoring and feedback loops using evaluation evidence, logs, metrics, traces and operational data.\n\nEngineer for reliability, testability, observability, maintainability, latency and cost.\n\nDesign production learning loops and determine whether behaviour should be improved through context, retrieval, orchestration, model choice, adaptation/fine-tuning or other techniques.\n\nDiagnose complex AI and software failures and convert production learning into prevention and system improvement.\n\nIdentify and validate AI-enabled improvements to SDLC, Product and operational workflows.\n\nExplore AI-enabled platform-quality capabilities such as anomaly detection, data-quality/error detection, failure-pattern analysis and intelligent monitoring where they provide measurable value.\n\nWork with Architecture, Platform, Security, Data, Quality, Product and domain specialists while retaining technical accountability for the AI capability within your scope.\n\nMentor less-experienced engineers and contribute reusable patterns, knowledge and practices.\n\nQualifications\nEssential\nAI systems: Strong hands-on experience delivering production AI systems; model APIs, structured outputs, tool-based systems, retrieval/RAG, agentic workflows, predictive techniques and model adaptation/fine-tuning where appropriate; able to select the appropriate AI approach based on problem context and evaluation evidence.\n\nEvaluation: Experience designing behavioural, groundedness/business-correctness, robustness and regression evaluations, including production evaluation, monitoring and feedback loops.\n\nEngineering: Strong software-engineering background, particularly Python; distributed systems, APIs, integrations, data pipelines, automated testing, CI/CD, containers/cloud and production-grade engineering practices.\n\nProduction: Strong observability and production troubleshooting skills including logs, metrics and traces; reliability, testability, latency/cost awareness and complex failure investigation.\n\nBusiness/domain: Ability to understand complex workflows, business rules, dependencies and constraints and translate ambiguous business problems into reliable system behaviour.\n\nOwnership: Demonstrated ability to take complex technical problems from discovery and experimentation through production and continuous improvement.\n\nFluent English, written and spoken.\n\nDesirable\nExperience with MCP or equivalent tool/context interoperability patterns.\n\nExperience with orchestration technologies such as LangGraph, Temporal or equivalent.\n\nExperience with model adaptation/fine-tuning or production predictive ML.\n\nExperience building evaluation harnesses and datasets from real production/user feedback.\n\nExperience with unstructured data and knowledge/retrieval systems at scale.\n\nWorking knowledge of AI security, privacy and responsible-AI practices.\n\nExperience improving developer/product workflows through applied AI.\n\nExperience with anomaly detection, intelligent monitoring or AI-assisted operational analysis.\n\nBenefits\nWork-from-anywhere scheme - plus regular team get-togethers in person, with travel and accommodation covered.\n\nFlexible working hours.\n\nHealth and life insurance programme.\n\nLearning & development budget.\n\nTech-driven, friendly team with an international mindset.\n\nIf you feel you’re a great fit, please apply! We’d love to hear from you!\nAll applications will be treated with confidentiality. Please note that due to the high volume of CVs received, only candidates who are a good fit will be contacted for an interview.\nAs part of our commitment to diversity in the workforce, Infiterra is dedicated to Equal Employment Opportunity, ensuring that all individuals are treated with respect and consideration without regard to race, color, national origin, ethnicity, gender, disability, sexual orientation, gender identity, or religion.","description_format":"text","description_chars":8575,"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":"Advanced (C1)","optional":false}]},"benefits":["Flexible schedule","Life insurance"],"hiring_locations":[{"name":"United Kingdom","iso":"GB","kind":"country"},{"name":"Greece","iso":"GR","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Commerce","Subscription Commerce","Managed IT Services (MSP)"],"lifecycle":[{"event":"open","at":"2026-10-13T10:09:20Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":29,"reasons":["conf:4","win:early"],"computed_at":"2026-10-14T05:52:18Z"},"pay":null,"html_url":"https://alion.io/job/infiterra-senior-ai-engineer","json_url":"https://alion.io/job/infiterra-senior-ai-engineer.json","meta":{"generated_at":"2026-10-14T06:31:55Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":7664,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-15T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":2497013},"rest":"https://alion.io/mcp/rest/get_company?id=2497013"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Finfiterra-senior-ai-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Finfiterra-senior-ai-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Finfiterra-senior-ai-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/infiterra-senior-ai-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Finfiterra-senior-ai-engineer"}]}