{"id":2228798,"url":"https://alion.io/job/clera-senior-software-engineer-6","title":"Senior Software 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":"2026-10-10T05:45:15Z"}},"role":"Backend","role_family":"Backend","seniority":"senior","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":130000,"max":220000,"currency":"USD","period":"year","gross":null,"usd_annual":220000},"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Function Calling","optional":false},{"name":"Go","optional":false},{"name":"Java","optional":false},{"name":"Machine Learning","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"Rust","optional":false},{"name":"Semantic Search","optional":false},{"name":"Semantic Search","optional":false},{"name":"Tool Use","optional":false}],"status":"live","first_seen_at":"2026-10-10T17:27:25Z","employer_posted_date":"2026-10-10","last_verified_at":"2026-10-11T19:24:43Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"About the Role\nJoin an engineering team building AI software for hospitality operations. You will own full-stack components of systems that understand guest requests, retrieve relevant information, and carry out workflows, helping make automated support reliable and useful.\nWhat You'll Do\nBuild response generation pipelines that classify requests, assemble context, choose tools, and determine when to respond or escalate.\n\nDevelop retrieval systems that ground responses in accurate, current information from real-world customer data.\n\nCreate orchestration layers for multi-step workflows, including robust handling of third-party API failures.\n\nBuild evaluation frameworks using real conversations to measure quality and catch regressions before release.\n\nImplement observability and tracing that help support teams understand system behavior.\n\nDevelop controls and interfaces that let non-technical teams adjust agent behavior.\n\nExtend capabilities to voice conversations, including real-time transcription and tool use.\n\nImprove speed and cost through model selection, caching, and prompt optimization, while contributing to infrastructure, data pipelines, integrations, and APIs.\n\nWhat We're Looking For\nAt least 3 years of experience building and shipping production systems that real users depend on.\n\nProduction experience with AI or machine learning systems, including retrieval pipelines, prompt engineering, or model orchestration.\n\nExperience building and evaluating retrieval systems, such as knowledge bases, ranking, context validation, or semantic search.\n\nBackground designing multi-step workflows, tool orchestration, or function-calling systems, and integrating third-party APIs with production failure handling.\n\nProficiency in a backend language such as Python, Go, Rust, or Java, with experience across multiple areas of the stack.\n\nExperience with evaluation methods and observability or debugging for complex systems; real-time applications, voice systems, user-facing controls, or cost and latency optimization are also relevant.\n\nCompensation & Benefits\nBase salary is $130,000 to $220,000 annually, with equity of 0.20% to 1.20%, health insurance, and a 401(k) match. 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