{"id":122499,"url":"https://alion.io/job/zapier-engineer-applied-ai","title":"Engineer, Applied AI","company":{"id":588,"name":"Zapier","domain":"zapier.com","url":"https://alion.io/company/zapier","size_band":"501-1000","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":"middle","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_regions","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":["US","DE","FR","AE","GB","AT","BE","BA","BG","HR","CY","CZ","DK","EG","FI","HU","IE","IL","IT","KE","NL","NG","NO","PL","RO","SA","RS","ZA","ES","SE","CH","TR","UA","AL","DZ","AD","AO","BH","BJ","BW"],"hiring_countries_total":163,"salary":null,"salary_estimate":null,"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"ChatGPT","optional":false},{"name":"Claude","optional":false},{"name":"Gemini","optional":false},{"name":"LLM","optional":false},{"name":"LLMOps","optional":false},{"name":"Machine Learning","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Python","optional":false},{"name":"TypeScript","optional":false},{"name":"Zapier","optional":false}],"status":"live","first_seen_at":"2026-06-30T21:44:34Z","employer_posted_date":"2026-06-30","last_verified_at":"2026-10-17T08:41:11Z","board_verified":true,"closed_at":null,"days_open":108,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":108},"description":"AI at Zapier\nAt Zapier, we build and use automation every day to make work more efficient, creative, and human. So if you’re using AI tools while applying here - that’s great! We just ask that you use them responsibly and transparently.\nCheck out our guidance on How to Collaborate with AI During Zapier’s Hiring Process, including how to use AI tools like ChatGPT, Claude, Gemini, or others during our hiring process - and when not to.\nHi there!\nAre you excited about building the platform that makes AI and machine learning development faster, safer, and more reliable across an entire company? We’re thrilled to invite you to join Zapier’s AI Platform team as an Applied AI Engineer!\nAs a key member of this team, you’ll help build and evolve the shared infrastructure that powers AI and ML development across Zapier. The AI Platform team owns the common foundations that product and engineering teams rely on when building with machine learning and generative AI - including systems like our LLM proxy server, observability tooling, and ML Ops platform capabilities.\nThis is a highly leveraged role. Rather than building a single end-user feature, you’ll create the core systems, tooling, and standards that many teams use as their baseline for shipping intelligent products and internal AI-powered workflows. You’ll work at the intersection of platform engineering, applied AI, and developer experience to make it easier for teams across Zapier to build with LLMs and ML systems in a scalable, secure, and production-ready way.\nYour work will focus heavily on LLM Ops and ML Ops: improving how models are accessed, monitored, evaluated, deployed, governed, and operated in production. You’ll help define the paved road for teams building with AI at Zapier.\nIf you’re passionate about large language models, machine learning systems, developer platforms, and building tools that help other engineers move faster, we’d love to meet you!\nIf you’re interested in advancing your career at a fast-growing, profitable, impact-driven company, then read on…\nOur Commitment to Applicants\n\nCulture and Values at Zapier\n\nZapier Guide to Remote Work\n\nZapier Code of Conduct\n\nDiversity and Inclusivity at Zapier\n\nEven though our job description may seem like we're looking for a specific candidate, the role inevitably ends up tailored to the person who applies and joins. Regardless of how well you feel you fit our description, we encourage you to apply if you meet these criteria:\nAbout You\nYou have 4+ years of experience in software engineering, including experience building and operating production AI/ML systems. You bring solid engineering fundamentals, good communication skills, and a desire to build reliable systems that others can depend on.\nYou have at least 1 year of experience in LLM Ops, ML Ops, or adjacent platform/infrastructure work. You’re interested in the practical challenges of operating these systems, including reliability, performance, safety, and cost.\nYou have experience contributing to backend systems, developer tooling, internal platforms, or infrastructure that supports other engineers. You enjoy simplifying complex workflows and improving how teams build and ship software.\nYou have experience of working through the full lifecycle of building, testing, deploying, and scaling ML/ LLM architectures.\nYou are thoughtful about engineering trade-offs and are developing a strong understanding of how to balance reliability, latency, cost, quality, and maintainability in production systems.\nYou enjoy working collaboratively and learning from others. You’re excited to partner with more senior engineers and cross-functional teams to build reusable platform capabilities that make AI and ML development easier across the company.\nYou embody our values. At Zapier,our values are at the heart of how we work together and how we think about our customers. In our remote setting, they help develop trust and ensure we work and collaborate to democratize automation.\nThings You’ll Do\nContribute to shared AI Platform capabilities that support teams building with machine learning and generative AI across Zapier.\n\nYou will work mostly in TypeScript & Python. Experience isn’t strictly required, but it is a big plus. Comfort with typed languages and modern backend practices is a must.\n\nHelp develop and maintain core services such as our LLM proxy server, platform APIs, and reusable tooling that standardize how teams access and operate models in production.\n\nBuild and improve parts of our LLM Ops and ML Ops stack, including observability, monitoring, evaluation workflows, and operational tooling.\n\nHelp design and implement systems that improve the performance, reliability, safety, and cost efficiency of AI-powered experiences.\n\nCollaborate closely with engineers across product, infra, and data teams to ensure our AI components are reusable, well-documented, and easy to adopt company-wide.\n\nEvaluate emerging tools, models, and patterns in the AI ecosystem, and help determine which ones should be incorporated into Zapier’s shared platform.\n\nApplication Deadline:\nThe anticipated application window is 30 days from the date job is posted, unless the number of applicants requires it to close sooner or later, or if the position is filled.\nEven though we’re an all-remote company, we still need to be thoughtful about where we have Zapiens working. 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