Home › Companies › Arbitalhealth › AI Engineer
AI Engineer
Arbitalhealth · Hybrid San Francisco, California · Hybrid · Deleted · Lever
Job facts
| Field | Value |
|---|---|
| Company | Arbitalhealth |
| Title | AI Engineer |
| Normalized title | - |
| Department / team | Engineering, Product, and Design / Engineering |
| Location | San Francisco, CA, United States |
| Work model | Hybrid / Hybrid |
| Employment type | Full Time |
| Salary | - |
| Status | deleted |
| ATS provider | Lever |
| Posted / first seen | 2026-03-26 / 2026-05-29 |
| Changed / last seen | 2026-06-03 / 2026-06-01 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Arbitalhealth. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through Lever. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| City jobs | Active postings in San Francisco. | Open |
| Department jobs | Active postings in Engineering, Product, and Design. | Open |
| Work model jobs | Active Hybrid postings. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | Arbitalhealth |
| Source | 65ea8d7b-aab3-406c-9359-5579923bd03c |
| ATS provider | Lever |
Description
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
Why Join Us?
We are assembling a team of creative, talented visionaries seeking to build a new technology that will change healthcare. You will be able to learn, build, and scale our team and technology in a collaborative, creative culture that values every team member.
We Offer:
• 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
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
Full job record
| Job ID | bfc5cd39a22f9a2931290ae0ff40f23f594555d3 |
| Org ID | 9c16e29f-d5c3-4f30-9628-d9f0689f8d3a |
| Source ID | 65ea8d7b-aab3-406c-9359-5579923bd03c |
| Board ID | 65ea8d7b-aab3-406c-9359-5579923bd03c |
| Provider | lever |
| Provider Job Key | 0e5ee1c8-4108-42fe-8b08-a66f5a773ea5 |
| Title | AI Engineer |
| Normalized Title | — |
| Status | deleted |
| Active | no |
| Location Text | Hybrid San Francisco, California |
| Department | Engineering, Product, and Design |
| Team | Engineering |
| Employment Type | Full-Time |
| Workplace Type | hybrid |
| Remote Policy | hybrid |
| Country | United States |
| Region | CA |
| City | San Francisco |
| Salary Raw | — |
| Salary Min | — |
| Salary Max | — |
| Salary Currency | — |
| Salary Period | — |
| Source URL | https://jobs.lever.co/arbitalhealth/0e5ee1c8-4108-42fe-8b08-a66f5a773ea5 |
| Apply URL | https://jobs.lever.co/arbitalhealth/0e5ee1c8-4108-42fe-8b08-a66f5a773ea5/apply |
| First Seen At | 2026-05-29 06:57:41Z |
| Last Seen At | 2026-06-01 10:58:46Z |
| Last Checked At | 2026-06-03 12:26:08Z |
| Last Changed At | 2026-06-03 12:26:08Z |
| Inactive At | 2026-06-03 12:26:08Z |
| Source Posted At | 2026-03-26 18:43:00Z |
| Source Updated At | — |
| Raw Payload Uri | s3://bluework-jobs-prod-raw-590183727216/raw/provider=lever/board=arbitalhealth/date=2026-06-01/2026-06-01T10-58-46-604Z-40a78276d3e5cc3c2a46e6c992e0c17e1b3d8af3eb571cb28752bb5dd96b9af2.json |
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