Sr. AI Engineer

Arbital Health • San Francisco, CA

63d • Hybrid

About The Position

Arbital Health is a rapidly growing healthcare technology and actuarial leader that centralizes, measures, and adjudicates value-based care contracts at scale. We enable payers and providers to design, measure, and execute value-based agreements with greater transparency, efficiency, and financial predictability. We invest in hiring high potential and humble individuals who thrive in fast-paced environments and can rapidly grow their responsibilities as we continue to accelerate our growth. We were co-founded by Brian Overstreet and Travis May (founder & former CEO of LiveRamp and Datavant, the two biggest data companies of the last 20 years), and are backed by Transformation Capital, Valtruis and other leading investors. In our first 2 years, Arbital Health has established itself as a trusted partner for over 40 payers, providers, and other stakeholders looking to navigate the complexities of risk-based contracting. At Arbital Health, we aim to transform the US healthcare system by accelerating the shift to value-based care (VBC) contracts by building the first AI-powered platform that enables our customers to construct, measure, and adjudicate VBC agreements. We recently launched Merlin AI , the first VBC AI assistant which makes complex contract performance data conversational, transparent, and instantly actionable. We are looking for a visionary, hands-on Senior AI Engineer to drive product innovation by architecting, building, and scaling Merlin's next-generation conversational AI experiences. This role requires a technologist who excels at the intersection of advanced AI models, large-scale systems, and a customer-focused approach. Is this role right for you? If you want to make an impact on the US healthcare system, the idea of Merlin excites you, and the following matches your skills, experience, and interests: Hands-on experience with prompt engineering, model testing, and automated evaluation techniques for conversational AI. Development and deployment of a data-intensive product on a SaaS platform Programming in Python and SQL Possess a strong product mindset, prioritizing quality and end-user impact. You strive for technically sound solutions that enhance user workflows, demonstrating a talent for iterative improvement and rigorous testing Strategic leadership role in determining the direction of platform development Impact: As a senior AI engineer at Arbital Health, you'll play a pivotal role in shaping the future of value-based healthcare through intelligent automation. You'll help unlock insights from complex financial, clinical, and actuarial data by: Owning the conversational AI architecture for interacting with complex and unstructured healthcare contract and financial data, delivering real-time analytics and visualizations Driving the evaluation and production-scale deployment of LLMs within a HIPAA-compliant environment Dramatically reducing analytics time for strategic decision-making Supporting thought leadership in the intersection of value-based care, healthcare finance, and artificial intelligence

Requirements

• 8+ years of experience in data-intensive, SaaS platform development projects
• 2+ years of experience with cutting-edge AI systems, context engineering and agentic systems ranging from tool-calling stacks to MCP-style frameworks
• Hands-on experience with AI orchestration frameworks like LangChain, CrewAI, ADK, etc.
• Demonstrable experience designing and building conversational AI systems that exhibit autonomous behavior, decision-making, and/or tool usage.
• Experience in designing and maintaining context engineering pipelines (RAG, memory, summarization, compression, grounding) for conversations.
• Proficiency in Python and common AI/ML frameworks (e.g., TensorFlow, PyTorch, Hugging Face Transformers, LangChain, LlamaIndex).
• Solid understanding of MLOps principles and experience with tools for model deployment, monitoring, and CI/CD for ML.
• Standing up observability for agents (traces, costs, failures, hallucinations, guardrails) and creating dashboards that guide product decisions.
• Experience with Cloud ML Services like AWS Bedrock, SageMaker, and Google Vertex AI
• Experience with Airflow, Databricks, and AWS or GCP
• Ability to ship extremely high-caliber code and build exceptional products
• Ability to perform under minimal supervision with accountability for specific objectives and work in a rapidly changing, ambiguous start-up environment
• Passionate about improving and innovating

Nice To Haves

• Startup experience is highly preferred
• Product development coding in R

Responsibilities

• Lead the architecture and development of Arbital’s next-generation conversational AI
• Collaborate with our cross-functional team of actuarial scientists, data scientists, data engineers, and product managers on Arbital’s AI strategy and help shape the conversational AI platform roadmap
• Manage the deployment and monitoring of these AI solutions in production environments to ensure they are performing as expected and troubleshoot any issues
• Ensure data accuracy, integrity, privacy, security, and compliance through automated quality control procedures
• Mentor junior team members

Benefits

• Generous equity grants of ISO stock options
• We offer an exceptional benefits package with high employer-paid contributions for health, dental, and vision insurance
• 4% 401(k) match
• Flexible PTO, a weeklong winter shutdown, and 10 holidays each year
• Occasional travel required - Quarterly team offsites
• The opportunity to build a critical software platform that accelerates the American healthcare system's transition to value-based care

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 1-10 employees