--- title: 'Staff Software Engineer (AI) at Onos Health' canonical: 'https://feeny.ai/job/staff-software-engineer-ai-onos-health-san-francisco-5420hhdt513p' type: 'job' last_seen: '2026-10-19' --- # Staff Software Engineer (AI) at Onos Health - **Company:** Onos Health - **Location:** San Francisco, CA - **Employment:** full-time - **Work type:** hybrid - **Posted:** 2026-10-01 - **Last confirmed live:** 2026-10-19 - **Apply:** https://jobs.ashbyhq.com/onoshealth/c1930f55-3d31-4634-9786-3c466f36a003 ## Job description ## About Onos Health Onos Health’s mission is simple but ambitious: ensure every healthcare dollar goes toward delivering the highest quality care. Today, 30% of total U.S. healthcare spending is wasted due to ineffective care and administrative burden caused by misalignment between providers and payers. Onos is addressing this by building the largest AI-driven healthcare data platform. Our models enables payers to make faster, more accurate decisions across their populations. By guiding members to the right care, Onos is channeling more dollars to high-quality care that drives better outcomes while making healthcare more affordable. Onos is well-funded by some of the best healthcare investors and is working with the nation’s largest health plans. Come join a category-defining company and help reimagine healthcare for the better. Why Onos? - Meaningful impact: Help fix what is fundamentally broken in healthcare - Direct collaboration: Work alongside experienced founders with deep healthcare and data expertise - Culture: Join a high-performing, transparent, and results-oriented team - Ownership: Significant responsibility and autonomy from day one - Opportunity: Play a pivotal role in building a fast-growing, category-defining healthcare AI company ## The Role We're seeking an experienced and highly capable AI engineer who is motivated to meaningfully improve the way healthcare is administered in the United States. You'll take ownership of developing a significant part of the Onos platform, including the development of models for assessing the level of appropriate care for patients. As an early team member, you'll be expected to wear multiple hats, including acting as a backend/data engineer, while ensuring excellent outcomes for our customers. This role is a hybrid role based in San Francisco, where you'll be expected to work at our office in person 2-3 times a week. What you'll be doing at Onos: - Develop LLM/NLU systems to process and extract meaningful information from clinical notes and medical documents, classify patients according to level-of-care guidelines, and make accurate recommendations - Establish best practices for LLM/AI systems, benchmarking/evaluation frameworks, and model governance to improve reliability, maintainability, and scalability - Build data pipelines that scale efficiently while maintaining strict data privacy and security standards - Collaborate with backend engineers to integrate AI/ML capabilities seamlessly into the Onos platform Technical Challenges At Onos: - Build and operationalize AI/data pipelines to analyze medical records to streamline clinical assessments and healthcare quality reviews - Benchmark LLM systems to more accurately and reliably extract evidence from medical records and classify patients’ level-of-care recommendations - Develop and optimize a system that ingests complex medical standards of care documents and evaluates provider adherence to guidelines - Design explainable AI solutions that provide transparency into model decisions for healthcare professionals Tech Stack: - Infrastructure/Systems: AWS (ECS, Bedrock, Cognito, etc.), Docker, Github Actions - Languages/Frameworks: Python, Django, Celery, django-ninja, django-tenants - Database/Storage: PostgreSQL (AWS RDS), S3 - Development Tools: Github, Jira, CoderabbitAI, Tusk, Claude What we're looking for: - 5+ years experience building and deploying applications in production in a backend engineering / data engineering capacity - Relevant experience with developing LLM-based systems for ingesting and evaluating unstructured records for industry-specific use cases and integrating them with user-facing features - Deep understanding of the limitations of using LLMs and the best practices for using them for reliable, consistent, and accurate outputs - Customer obsessed and motivated to build a best-in-class model for behavioral health clinical assessments in the healthcare space - A collaborative team player with a focus on delivering measurable results Bonus points if you have: - Specifically worked with medical records to evaluate whether a patient’s history meets criteria for evaluations or assessments (e.g., claims authorization or other types of evaluations) - Experience wearing multiple hats as a generalist backend engineer - Experience working with data pipelines and Python and related data science/ML libraries - Significant experience working with healthcare data and with HIPAA best practices - Knowledge of modern LLM and ML infrastructure and MLOps best practices ## Benefits and Perks - Flexible hybrid arrangement: 2-3 days/week at San Francisco office (Financial District), remote-first culture - Unlimited vacation policy - Paid parental leave - Medical, dental, and vision insurance - Pre-tax commuter benefits - 401(k) - Significant equity as an early employee - Direct mentorship from experienced founders - Ground-floor opportunity to help build a team and culture - Regular team events and offsites - Company-provided equipment and home office setup We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. ## About Onos Health ## Company Overview - **One-liner**: Onos Health provides an AI-powered platform that helps health plans reduce waste and improve quality in behavioral health programs. - **Entity Type**: Private (Seed stage; raised $6.3M in June 2025) - **Headquarters**: San Francisco, California, United States - **Founded**: Not publicly available - **Founders**: Akshay Agrawal (CEO) and Suhaas Prasad (CTO) ## Core Business - **Primary industry**: Healthcare IT – specifically behavioral health technology for payers - **Target customers**: Health plans (payers) that manage behavioral health benefits, including government-sponsored programs - **Mission statement**: “Fix what’s broken in behavioral health” – the company aims to streamline operations, reduce loss, and ensure higher-quality care. ## Products & Services - **Onos Platform (AI-Powered Behavioral Health Management)**: A SaaS platform that combines machine learning, large language models, and generative AI to: - Alert health plans when members deviate from appropriate care paths and recommend corrective actions. - Detect fraud, waste, and abuse early. - Provide a 360-degree view of each member’s condition and care. - Unify clinical review, utilization management, and provider quality assessment in a single, collaborative web application. - Support full spectrum of behavioral health diagnoses and all care settings (outpatient, intensive outpatient, inpatient, crisis stabilization, school-based, etc.). - **Integration Options**: Supports flatfile/CSV, API connections to claims/RCM/EMR systems, or direct data warehouse/lake integration. - **Configuration**: Can be tailored to a health plan’s data, service lines, and clinical guidelines. ## Market Standing - **Valuation/Market Cap**: Not disclosed - **Key Metric**: Total funding raised – $6.3M (Seed round, June 2025) - **Notable Investors/Partners**: Seed round led by **Haystack** and **Pathlight Ventures**; 4 investors total. - **Growth Signals**: - 17 employees as of mid-2025, with active hiring for 6+ open roles (Staff Engineers, AI/ML, Product, Marketing). - Job postings increased 50% month-over-month. - LinkedIn follower count: 885. - Company featured in Axios coverage of the fundraise (October 2025). ## Competitive Advantages - **Behavioral-health-specific AI models**: Proprietary models trained exclusively on millions of claims, clinical notes, plan policies, and member data points – not general-purpose AI. - **HIPAA compliance**: Built by security professionals with payer experience; uses locally hosted AI/ML models to protect PHI. - **Reinforcement Learning with Human Feedback (RLHF)**: The platform continuously improves by incorporating team decisions back into the model. - **End-to-end unification**: Brings together scattered clinical data and cross-functional teams (clinical review, utilization management, provider collaboration) in one platform. ## Strategic Focus - **Reduce waste in behavioral health**: Onos targets the estimated 30% of every behavioral health dollar that goes to waste, aiming to cut that significantly. - **Improve clinical oversight and provider quality**: Real-time alerts and recommendations keep members on effective care paths. - **Expand data integration and configurability**: The platform works with existing payer systems and can be customized for each client’s policies and preferences. ## Why Work Here - **Mission-driven**: Employees focus on transforming a broken part of healthcare with measurable impact. - **Small, collaborative team**: Currently 17 people, offering high ownership and direct influence. - **Hybrid work policy**: Open positions list San Francisco as location, with hybrid expectation. - **Engineering culture**: Teams use modern tech stack (Python, Django, React, TypeScript, PostgreSQL, ClickHouse, PyTorch, Docker, Terraform, GitHub Actions, MLOps) and are building cutting-edge AI for healthcare. - **Open roles**: Staff Software Engineer (Full Stack & AI/ML), Lead Engineer (Backend & Data/Integrations), Forward-Deployed Product Manager, Senior Software Engineer, Head of Marketing. ## Sources 1. [onoshealth.com](https://onoshealth.com/) 2. [onoshealth.com/about-us](https://onoshealth.com/about-us/) 3. [onoshealth.com/career](https://onoshealth.com/career/) 4. [linkedin.com/company/onos-health](https://www.linkedin.com/company/onos-health) 5. [builtin.com/company/onos-health](https://builtin.com/company/onos-health) ## Other roles at Onos Health - [Strategic Account Manager](https://feeny.ai/job/strategic-account-manager-onos-health-san-francisco-aq25r4brjg83) — San Francisco, CA - [Forward-Deployed Product Manager](https://feeny.ai/job/forward-deployed-product-manager-onos-health-san-francisco-2dfm3ajvt0h8) — San Francisco, CA - [Lead Infrastructure Engineer](https://feeny.ai/job/lead-infrastructure-engineer-onos-health-san-francisco-jxg5ygp4htr6) — San Francisco, CA - [Senior Product Engineer](https://feeny.ai/job/senior-product-engineer-onos-health-san-francisco-v15rnqx6yc6n) — San Francisco, CA - [Lead Data Scientist](https://feeny.ai/job/lead-data-scientist-onos-health-san-francisco-yyt0hr2bx33g) — San Francisco, CA - [Clinical Quality Reviewer - BCBA](https://feeny.ai/job/clinical-quality-reviewer-bcba-onos-health-san-francisco-8g7ae96f4cb1) — San Francisco, CA - [Lead Engineer (Data/Integrations)](https://feeny.ai/job/lead-engineer-data-integrations-onos-health-san-francisco-rs347xgb61ys) — San Francisco, CA - [Lead Software Engineer](https://feeny.ai/job/lead-software-engineer-onos-health-san-francisco-bwzgf99q6xqf) — San Francisco, CA - [Staff Software Engineer (AI)](https://feeny.ai/job/staff-software-engineer-ai-pendo-new-york-gdd3qn0de5ag) — New York, NY