{"id":2821256,"url":"https://alion.io/job/clera-ai-infrastructure-product-engineer-4","title":"AI Infrastructure / Product Engineer","company":{"id":2706,"name":"Clera","domain":"getclera.com","url":"https://alion.io/company/clera","size_band":"11-50","is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"B","score":80,"open_postings":30,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":6,"computed_at":"2026-10-22T06:10:10Z"}},"role":"Backend","role_family":"Backend","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":[],"hiring_countries_total":0,"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":"Docker","optional":false},{"name":"FastAPI","optional":false},{"name":"Machine Learning","optional":false},{"name":"Next.js","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"React.js","optional":false},{"name":"JavaScript","optional":true}],"status":"live","first_seen_at":"2026-10-18T17:02:41Z","employer_posted_date":"2026-10-18","last_verified_at":"2026-10-22T15:58:23Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"About the Role\nAs an AI Infrastructure / Product Engineer, you will work at the intersection of AI research and product development at a healthtech company building AI products. You will help turn experiments into dependable systems and features, and build ways to measure and improve their quality.\nWhat You'll Do\nBuild repeatable benchmarks and evaluation pipelines to measure model accuracy, hallucinations, retrieval quality, latency, and cost.\n\nCreate dashboards that make changes in system performance 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 help test and release improvements.\n\nDeploy and operate cloud infrastructure, including monitoring, databases, delivery pipelines, and reliable operations.\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 cloud deployment experience.\n\nExperience with APIs, databases, backend services, deployment pipelines, and production monitoring.\n\nExperience building evaluation pipelines, benchmarks, or assessment systems for machine learning or AI systems.\n\nAbility to turn ambiguous ideas and experimental code into usable, maintainable products.\n\nInterest or experience in LLMs, retrieval-augmented generation, agents, AI benchmarks, or document automation.\n\nFull-stack experience is helpful. Familiarity with FastAPI, Docker, React, Next.js, Postgres, or vector databases is a plus.\n\nCompensation & Benefits\nAnnual base salary is $180,000 to $260,000 USD, depending on skills, experience, and role scope. 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