AI Engineer

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. We recently launched Merlin AI, the first VBC AI assistant that allows users to interact with complex VBC contracts & performance data in natural language and visualize it on demand. Built by the industry’s leading VBC actuaries and engineers, Merlin AI makes complex contract performance data conversational, transparent, and instantly actionable. We are looking for a hands-on AI Engineer who can help build 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 You strive for technically sound solutions that enhance user workflows, demonstrating a talent for iterative improvement and rigorous testing Impact: As an 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: Help advancing our AI architecture for interacting with complex and unstructured healthcare contract & 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 Responsibilities:

• Develop 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
• 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

Requirements:

• 3+ years of experience in data-intensive, SaaS platform development projects
• More than one year in machine learning or AI-related roles
• Familiarity with cutting-edge AI systems, context engineering and agentic systems ranging from tool-calling stacks to MCP-style frameworks
• Familiarity with AI orchestration frameworks like LangChain, CrewAI, ADK, etc.
• Familiarity with 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).
• 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
• Passionate about improving and innovating
• Our team works hybrid from the San Francisco Bay Area. We will prioritize candidates who can work two days per week from our San Francisco office. We will also consider highly qualified remote candidates who can travel to San Francisco for in-person collaboration several days per month.

Tools we use include:

• Infrastructure: AWS, GCP, Databricks, Airflow, Sigma, Datadog
• AI: Vertex AI, GCP Model Garden, Vanna AI, MLflow, Databricks Vector Search
• Core Tools: Python, R, SQL, Next.js, React, TypeScript, Tailwind CSS
• IDE: Cursor, Claude Code, and R Studio
• Version Control: GitHub
• Team Planning / Design: Jira, Confluence, Figma, Claude, Gemini