{"id":28120,"url":"https://alion.io/job/sage-care-inc-software-engineer-agent-intelligence","title":"Software Engineer, AI Systems","company":{"id":7617,"name":"Sage Care","domain":"sagecare.com","url":"https://alion.io/company/sage-care-inc","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"A","score":95,"open_postings":10,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":127,"computed_at":"2026-10-17T05:46:00Z"}},"role":"Backend","role_family":"Backend","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Palo Alto, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":200000,"max":250000,"currency":"USD","period":"year","gross":null,"usd_annual":250000},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Function Calling","optional":false},{"name":"LLM","optional":false},{"name":"Tool Use","optional":false},{"name":"Fine-tuning","optional":true},{"name":"Post-training","optional":true}],"status":"live","first_seen_at":"2026-03-18T18:49:38Z","employer_posted_date":"2026-03-18","last_verified_at":"2026-10-17T21:37:50Z","board_verified":true,"closed_at":null,"days_open":213,"trust":{"level":"ok","repost_count":1,"flags":["company_stale"],"days_open":212},"description":"About Sage Care\nSage Care is a fast-growing, early-stage healthcare startup founded by exceptional leaders from Apple, Uber, Carbon Health and backed by top-tier venture capital (General Catalyst, Chelsea Clinton). With a strong customer pipeline, Sage Care is transforming healthcare by simplifying care navigation.\nOur platform makes it easier for patients to find the right doctor and helps providers focus on those who need them most through harnessing the latest AI innovations.\nBuilding on our successful collaborations with health systems across the U.S., we have expanded internationally to the MENA region. We are now partnering with health systems there to deploy our AI-powered care navigation platform.\nAbout the Role\nWe’re hiring a Software Engineer to develop the systems behind our AI agents and turn production conversations into measurable improvements.\nThe work spans two areas: building agent platform that makes patient workflows easy to develop and adapt across healthcare partners, and building evaluation and ML pipelines that help us understand failures and improve agent behavior.\nYou’ll work closely with our engineers and researcher. We welcome depth in either area and a desire to develop the other. Your initial focus will reflect your strengths and the team’s needs.\nWe welcome senior and staff-level engineers. Scope and responsibilities will reflect your experience.\nWhat You'll Do\nDesign and build agent systems for increasingly complex workflows, including scheduling and medication refills.\n\nDevelop reusable approaches to orchestration, tool use, conversation state, and recovery that support differences across healthcare partners.\n\nBuild pipelines that analyze production conversations, identify recurring failures, and generate useful evaluation datasets.\n\nDevelop evaluations that measure agent quality and catch regressions across models, prompts, and orchestration.\n\nTranslate findings into production improvements and verify their impact.\n\nWork with research to bring promising techniques into production, making practical tradeoffs across quality, latency, and cost.\n\nWhat We're Looking For\nRequired\n5+ years of professional software engineering experience, including building and operating AI production systems.\n\nStrong backend engineering skills and experience making architecture decisions for substantial technical projects.\n\nDeep experience in at least one of these areas: production AI agents and orchestration, or ML pipelines, evaluation, and feedback systems.\n\nHands-on experience with LLM-based applications and understanding of their behavior and limitations.\n\nAbility to investigate failures across multiple components and use evidence to guide improvements.\n\nInterest in working across live agent systems and offline evaluation and learning pipelines.\n\nNice to Have\nExperience with voice or conversational AI.\n\nExperience building platforms or frameworks used by other engineers.\n\nExperience with post-training, fine-tuning, or training data development.\n\nExperience turning research prototypes into reliable production 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