{"id":2833760,"url":"https://alion.io/job/woven-by-toyota-ai-platform-engineer-mlopsllmops","title":"AI Platform Engineer (MLOps/LLMOps)","company":{"id":5989,"name":"Woven by Toyota","domain":"woven.toyota","url":"https://alion.io/company/woven-by-toyota","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"B","score":82,"open_postings":21,"ghost_share":0,"stale_share":0.524,"repost_share":0,"time_to_fill_p50_days":107,"computed_at":"2026-10-26T05:57:25Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"junior","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Tokyo, Japan"],"countries":["JP"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"CI/CD","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"LLMOps","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Python","optional":false},{"name":"AI Agents","optional":true}],"status":"live","first_seen_at":"2026-10-19T03:13:37Z","employer_posted_date":"2026-10-19","last_verified_at":"2026-10-26T14:34:06Z","board_verified":true,"closed_at":null,"days_open":7,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":7},"description":"TEAM\nToyota is redefining what it means to move. We're challenging the current state of mobility by enhancing the movement of people, goods, information and energy. Centered around three core concepts - A Living Laboratory™, Human-Centered, and Ever Evolving City™ - Woven City serves as a test course for mobility to fulfill our purpose of well-being for all.\nWe do this by bringing together a diverse community of people with a shared passion for the future of mobility to co-create, develop and refine innovative products and services. This cross-section of social infrastructure, mobility, and people provides a unique opportunity for inventors, residents and visitors to interact seamlessly with new technologies throughout daily life in an environment that emulates a real city.\nFor more information about Woven City, please visit: https://www.woven-city.global/\nWHO ARE WE LOOKING FOR?\nWe are looking for an AI Platform Engineer who will enable teams developing and operating AI products to deliver high-quality AI capabilities faster, more safely, and on a sustainable basis.\nThis position is not responsible for developing individual product features. Instead, the mission is to design, implement, and operate the shared platforms, workflows, and guardrails required for AI product development, evaluation, release, and operations. By reducing manual work and reliance on individual knowledge, you will improve development productivity, operational efficiency, and the quality and reliability of AI outputs across the organization.\nFrom an MLOps perspective, you will build and improve systems that support reliable operations through the management of models, data, experiments, evaluation results, and releases; CI/CD; infrastructure configuration management; monitoring, log collection, and alerting; and automation of incident response. You will also build mechanisms with validation workflows, policies, and evaluation methodologies, including agent-based code review.\nFrom an LLMOps perspective, you will drive the design and operation of feedback loops that collect and organize user feedback, usage logs, AI quality evaluation results, incidents, and failure cases, and use these insights to improve agents and tools. You will be expected not only to experiment with emerging technologies, but also to turn them into solutions that can be continuously used in real development environments, with due consideration for security, quality, reproducibility, and operational sustainability.\nYou will work closely with product development teams, ML engineers, and security and cloud infrastructure stakeholders to evolve a reusable AI Platform that supports multiple products.\nThis position reports to a functional leader. The work arrangement is hybrid, and travel to Woven City several times per month is required.\nRESPONSIBILITIES\nDesign, implement, and operate MLOps/LLMOps platforms and shared workflows\nBuild systems that enable the management and traceability of models, prompts, agent configurations, evaluation data, experiment results, and release information\nPartner with AI Quality Evaluation Engineers and product development teams to build feedback loops that support evaluation execution, regression evaluation, and release decisions\nBuild and operate mechanisms to visualize and monitor LLM output quality, safety, consistency, latency, cost, and usage\nEstablish testing, monitoring, alerting, and rollback mechanisms to detect quality degradation and safety risks resulting from changes to LLM applications at an early stage\nAutomate the development and operation of AI workloads using CI/CD, Infrastructure as Code, container and cloud platforms, and observability tools such as logs, metrics, and traces\nDesign and implement systems that enable the safe and effective use of agents for code generation, modification, and review, including agent-based code review, validation workflows, policies, and auditability\nMINIMUM QUALIFICATIONS\n2+ years of professional experience in MLOps, LLMOps, or Platform Engineering\nExperience designing, implementing, and operating platforms that support the development, evaluation, deployment, and operation of LLM systems\nExperience automating development or operational processes using CI/CD, Infrastructure as Code, container technologies, and cloud services\nSoftware development experience using Python\nBusiness-level proficiency in both English and conversational-level Japanese\nNICE TO HAVES\nExperience building feedback loops for AI quality improvement using user feedback, usage logs, evaluation results, support inquiries, incident information, and related data\nExperience designing and operating systems that consider cost, latency, rate limits, availability, and security when using LLM APIs\nExperience building mechanisms for AI safety, security, governance, and auditability\nExperience designing, introducing, and operating development-support systems that use AI agents for code generation, code review, testing, or related engineering workflows\nA proactive mindset and demonstrated ability to identify challenges in emerging technical areas and drive them from prototyping through the implementation of operationally sustainable solutions","description_format":"text","description_chars":5217,"description_truncated":false,"requirements":{"experience_years_min":2,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[{"language":"Japanese","level":"All levels","optional":false},{"language":"English","level":"All 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