🎁 Before you apply, rehearse this interview. Create your free WorkMundi account and get an Interview Training on HelpsYouSpeak — no cost, no card. I want my training →
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. Arbital AI allows users to interact with complex VBC contracts & performance data in natural language and visualize it on demand. The 1st AI-powered platform built for VBC by industry leading healthcare actuaries, Arbital AI makes complex contract performance data conversational, transparent, and instantly actionable. We are looking for an AI Engineer to help build our next-generation conversational AI experiences. This role sits at the intersection of AI models and the data systems behind them: you'll build retrieval and evaluation pipelines and the knowledge systems that ground our models' responses in production, working alongside senior engineers while keeping the customer experience front and center. Is this role right for you? Skills If you want to make an impact on the US healthcare system, the idea of Arbital AI excites you, and the following matches your skills, experience, and interests: Development and deployment of a data-intensive AI product on a SaaS platform Programming in Python and SQL Learning new frameworks, technologies, tools, and techniques in AI development Hands-on experience with prompt engineering, model testing, and automated evaluation techniques for conversational AI. 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 2 - 5 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, ADK, etc. Familiarity with maintaining context engineering pipelines (RAG, memory, summarization, compression, grounding) for conversations. Proficiency in Python and Cloud ML Services like Vertex AI, AWS Bedrock and SageMaker 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 Infrastructure: AWS, GCP, Databricks, Airflow, Datadog AI: Vertex AI, GCP Model Garden, 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, Claude, Gemini $155,000 - $180,000 a year 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 Work Authorization Applicants must be legally authorized to work in the United States for the duration of their employment. This position is not eligible for employer-sponsored immigration sponsorship, now or in the future. Applicants must be able to work in the United States without requiring employer sponsorship.
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.