{"id":802100,"url":"https://alion.io/job/appliedlabs-founding-engineer","title":"Founding Engineer","company":{"id":670334,"name":"Applied Labs","domain":"appliedlabs.ai","url":"https://alion.io/company/appliedlabs","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"B","score":75,"open_postings":3,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-30T05:48:23Z"}},"role":"Backend","role_family":"Backend","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":["New York, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":160000,"max":300000,"currency":"USD","period":"year","gross":null,"usd_annual":300000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"ClickHouse","optional":false},{"name":"GCP","optional":false},{"name":"GitHub","optional":false},{"name":"Kubernetes","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Python","optional":false},{"name":"AI Agents","optional":true}],"status":"closed","first_seen_at":"2024-09-25T18:23:53Z","employer_posted_date":"2024-09-25","last_verified_at":"2026-10-31T00:38:51Z","board_verified":false,"closed_at":"2026-10-31T00:38:51Z","days_open":765,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":763},"description":"About us\nAt Applied Labs, we’re building the platform for reliable AI agents that automate complex work. We are primarily an in-person company based in New York City.\n\nWhy this could be a fit\nTrajectory: 10x growth in 4 months; strong momentum.\n\nOwnership: High autonomy; own systems end-to-end.\n\nChallenging problems: Design novel, reliable solutions for complex tasks.\n\nTeam quality: Early team from Harvard, MIT, Gemini, Meta.\n\nWhat you’ll do\nOwn core agent systems from idea to production: orchestration, tool-use, planning, memory, evals.\n\nArchitect for reliability: design agent loops and guardrails that hold up under real-world edge cases.\n\nShip fast, learn faster: run experiments, measure outcomes, iterate weekly.\n\nCollaborate tightly with the founders in NYC to set product direction, quality bars, and engineering culture.\n\nSet the blueprint: your design decisions, documents, and code style become the standard for future hires.\n\nYou might thrive in this role if you:\nHave shipped production systems end-to-end and love owning outcomes.\n\nCare deeply about reliability, not just demos - 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