{"id":1150662,"url":"https://alion.io/job/clera-applied-ai-engineer-2","title":"Applied AI 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":"2026-09-28T05:45:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Francisco, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":150000,"max":250000,"currency":"USD","period":"year","gross":null,"usd_annual":250000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":true,"relocation_package":false,"has_equity":true,"technologies":[{"name":"AI Agents","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"LLM","optional":false},{"name":"LLM Evaluation","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false}],"status":"live","first_seen_at":"2026-09-23T17:11:52Z","employer_posted_date":"2026-09-23","last_verified_at":"2026-09-28T23:27:01Z","board_verified":true,"closed_at":null,"days_open":5,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":5},"description":"About the Role\nYou will own the agentic infrastructure at a well-funded AI infrastructure startup, building the systems that let AI agents execute reliably, retain context over months, and know when to involve a human. This is a founding engineer role where your decisions directly shape how agents plan, remember, fail, and recover in production.\nWhat You'll Do\nBuild and maintain core infrastructure that enables agents to execute tasks reliably across dozens of iterations.\n\nDesign and implement memory systems that retain months of client context extracted from messy, real-world operational data.\n\nDevelop eval harnesses that teams actually trust to make production deployment decisions.\n\nOwn the full loop: build, measure, break, fix, and improve agent systems based on production feedback.\n\nShip agent systems directly to real customers and iterate on them based on live feedback.\n\nContribute across infrastructure, orchestration, customer collaboration, and early hiring as needed.\n\nWhat We're Looking For\n3 or more years shipping LLM agents that ran unattended in production for real users, with a clear understanding that the model is the easy part.\n\nProven experience building eval harnesses that were actually used to make production shipping decisions.\n\nStrong Python proficiency applied to production systems, not prototypes.\n\nExperience with agent memory management, context retrieval, and orchestration on real operational data (not demo RAG pipelines).\n\nHands-on experience with agent orchestration frameworks, workflow management, or infrastructure tooling.\n\nExperience implementing failure recovery, retry logic, or reliability patterns in production agent systems.\n\nBonus: open-source agent tooling contributions, experience with human-in-the-loop or approval workflows, or a founded/led technical project.\n\nExceptional intensity and execution, comfortable owning work well beyond a narrow specialty at an early-stage company.\n\nCompensation & Benefits\nBase salary: $150,000 to $250,000 USD annually.\n\nEquity: meaningful early equity stake.\n\nRelocation support and visa sponsorship available.\n\nLocation\nOn-site in San Francisco, CA, United States. Relocation support is provided.","description_format":"text","description_chars":2198,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Equity"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":true,"industries":[],"lifecycle":[{"event":"open","at":"2026-09-23T17:34:01Z"}],"liveness":{"score":19,"band":"cold","label":"Long shot","p_open":1,"p_active":0.251,"p_room":0.75,"age_days":4,"expected_fill_days":6,"reasons":["conf:1","agency","stale_co","velocity","win:late","comp:brand"],"computed_at":"2026-09-28T05:45:00Z"},"pay":{"stated_usd_annual":250000,"is_top_pay":true},"html_url":"https://alion.io/job/clera-applied-ai-engineer-2","json_url":"https://alion.io/job/clera-applied-ai-engineer-2.json","meta":{"generated_at":"2026-09-29T00:48:46Z","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":761,"day_limit":5000,"remaining_today":4239,"minute_limit":60,"resets_at":"2026-09-30T00:00:00Z"}}}