{"id":1282840,"url":"https://alion.io/job/clera-ai-infrastructure-product-engineer","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":"2026-10-03T05:45:00Z"}},"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":"explicit","locations":["United States"],"countries":["US"],"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":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Docker","optional":true},{"name":"FastAPI","optional":true},{"name":"JavaScript","optional":true},{"name":"Next.js","optional":true},{"name":"PostgreSQL","optional":true},{"name":"React.js","optional":true}],"status":"closed","first_seen_at":"2026-09-26T02:03:03Z","employer_posted_date":"2026-09-26","last_verified_at":"2026-10-01T18:21:48Z","board_verified":false,"closed_at":"2026-10-01T18:21:48Z","days_open":5,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":5},"description":"About the Role\nThis is a hands-on engineering role at the intersection of AI research and product, focused on turning promising AI experiments into dependable, production-grade tools for legal work. You will own the evaluation systems, backend services, and features that bring applied AI from prototype to reality, with direct influence over how quality is measured and improved across the team.\nWhat You'll Do\nBuild repeatable benchmarks and evaluation pipelines that measure model accuracy, hallucinations, retrieval quality, latency, and cost.\n\nCreate dashboards that make changes in system performance visible to the broader team.\n\nDevelop production features that transform research prototypes into usable retrieval, drafting, document, and agent workflows.\n\nBuild backend services, APIs, and internal tools that help the team test and release improvements quickly.\n\nDeploy and operate cloud infrastructure including monitoring, databases, delivery pipelines, and reliable operations.\n\nWork closely with AI research while staying connected to product and user needs.\n\nWhat We're Looking For\n3 or more 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\nSolid background working with APIs, databases, backend services, and deployment pipelines.\n\nA track record of converting research prototypes or experimental code into usable, maintainable products.\n\nExperience designing dashboards or monitoring systems that surface system performance changes.\n\nInterest in LLMs, retrieval-augmented generation, agents, and AI evaluation.\n\nFull-stack experience spanning both frontend and backend is a plus.\n\nFamiliarity with FastAPI, Docker, React or Next.js, Postgres, vector databases, AI benchmarks, or document automation workflows is helpful.\n\nCompensation & Benefits\nBase salary: $180,000 to $260,000 USD annually, depending on relevant skills, experience, and role scope. Visa sponsorship is not available for this role.\nLocation\nFully remote, open to candidates based in the United States only.","description_format":"text","description_chars":2250,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-09-26T03:38:35Z"},{"event":"close","at":"2026-10-01T18:21:48Z"}],"visa":[],"liveness":null,"pay":{"stated_usd_annual":260000,"is_top_pay":true},"html_url":"https://alion.io/job/clera-ai-infrastructure-product-engineer","json_url":"https://alion.io/job/clera-ai-infrastructure-product-engineer.json","meta":{"generated_at":"2026-10-04T01:46:11Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":2409,"day_limit":5000,"remaining_today":2591,"minute_limit":60,"resets_at":"2026-10-05T00:00:00Z"}}}