{"id":4341248,"url":"https://alion.io/job/clera-senior-agent-engineer-3","title":"Senior Agent 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":40,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":6,"computed_at":"2026-11-15T07:52:55Z"}},"role":"Industrial Engineering","role_family":"Industrial Engineering","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":[],"countries":[],"hiring_countries":["US"],"hiring_countries_total":1,"salary":null,"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Django","optional":false},{"name":"Function Calling","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"Structured Outputs","optional":false},{"name":"TypeScript","optional":false}],"status":"live","first_seen_at":"2026-11-15T17:06:43Z","employer_posted_date":"2026-11-15","last_verified_at":"2026-11-15T18:29:31Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"About the Role\nJoin a product engineering team building AI-powered workflow and productivity software. You will turn emerging agent capabilities into reliable tools and experiences that help users manage complex work.\nWhat You'll Do\nInvestigate advances in reasoning, planning, memory, tool use, and agent collaboration to identify useful product opportunities.\n\nTranslate promising model capabilities and user needs into reliable, reusable agent skills and workflows.\n\nBuild and evolve Python agent infrastructure, including execution loops, orchestration, context management, structured outputs, retries, and error recovery.\n\nDesign integrations with email, calendars, messaging platforms, browsers, documents, CRMs, and other business software.\n\nOwn capabilities across Python and Django services, APIs, React interfaces, data models, background jobs, observability, and production operations.\n\nDevelop platform abstractions that make capabilities easier to compose, extend, and maintain.\n\nImprove latency, cost, reliability, and safety in high-volume agent execution.\n\nUse evaluations, production traces, and user feedback to diagnose issues and improve system behavior.\n\nSet technical direction on ambiguous problems and contribute through design reviews and high-quality implementation.\n\nWhat We're Looking For\nAt least 5 years of experience building production software systems end-to-end, from design and implementation through deployment and operational iteration.\n\nStrong Python skills, including experience debugging asynchronous systems and building maintainable production services.\n\nHands-on experience building production agent systems, with knowledge of planning, tool calling, structured outputs, context and state management, retries, and orchestration.\n\nFull-stack experience with Django, APIs, React, and TypeScript.\n\nExperience owning complex systems in production, including observability, troubleshooting, and improvements based on production signals.\n\nExperience designing integrations with external APIs and business software platforms.\n\nStrong product judgment, systems design skills, and the ability to turn ambiguous needs into simple, useful capabilities.\n\nExperience with LLMs, prompt engineering, or model evaluation in production is beneficial, as is work on latency, cost, or reliability in distributed systems.\n\nA degree from a strong engineering program, or equivalent evidence of strong technical fundamentals, and sustained career progression or startup experience.\n\nLocation\nOn-site in Palo Alto, California, United States. 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