{"id":2263391,"url":"https://alion.io/job/clera-ai-infrastructure-product-engineer-3","title":"AI Infrastructure / Product Engineer","company":{"id":1998,"name":"Clera","domain":"clera.ai","url":"https://alion.io/company/clera-inc","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Backend","role_family":"Backend","seniority":"middle","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":180000,"max":260000,"currency":"USD","period":"year","gross":null,"usd_annual":260000},"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Docker","optional":true},{"name":"FastAPI","optional":true},{"name":"JavaScript","optional":true},{"name":"Next.js","optional":true},{"name":"PostgreSQL","optional":true},{"name":"RAG","optional":true},{"name":"React.js","optional":true}],"status":"live","first_seen_at":"2026-10-11T05:39:52Z","employer_posted_date":null,"last_verified_at":"2026-10-11T05:39:52Z","board_verified":false,"closed_at":null,"days_open":16,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":16},"description":"This a Full Remote job, the offer is available from: United States\nAbout the Role\nAs an AI Infrastructure / Product Engineer, you will work at the intersection of AI research and product, helping turn experiments into dependable tools for legal work. You will build evaluation systems, backend services, and product features that help measure and improve applied AI in production.\nWhat You'll Do\nBuild repeatable benchmarks and evaluation pipelines for model accuracy, hallucinations, retrieval quality, latency, and cost.\n\nCreate dashboards that make system performance changes visible to the team.\n\nDevelop production retrieval, drafting, document, and agent workflows from research prototypes.\n\nBuild backend services, APIs, and internal tools to test and release improvements.\n\nDeploy and operate cloud infrastructure, including monitoring, databases, and delivery pipelines.\n\nCollaborate with AI research while staying connected to product and user needs.\n\nWhat We're Looking For\nAt least 3 years of experience as a software, infrastructure, or product engineer building and deploying production systems.\n\nStrong Python skills and hands-on experience deploying software to the cloud.\n\nExperience building evaluation pipelines, benchmarks, or assessment systems for machine learning or AI systems.\n\nExperience with APIs, databases, backend services, deployment pipelines, and systems that turn experimental code into maintainable products.\n\nExperience building dashboards or monitoring systems to visualize performance, and operating cloud deployments reliably.\n\nFull-stack experience is a plus. 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