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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Engineer - **Company:** Arbital Health, Inc. - **Location:** San Francisco, CA, United States (Remote available) - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Airflow, Amazon Web Services, Confluence, JIRA, Software as a Service, Cloud Computing, Cursor (Graphical User Interface Elements), Github, R (Programming Language), Python (Programming Language), Machine Learning, RStudio, Azure Machine Learning, Next.js, SQL Databases, TypeScript, Tailwind, ReactJS, Multi-Agent Systems, Software Version Control, Databricks - **Published:** September 4, 2026 - **Apply:** https://startup.jobs/ai-engineer-arbital-health-9474401 ## About the Role * 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., * 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. ## Description * 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, * 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 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. ## Related Videos - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Improving quality with Agentic AI with Rovo Dev and Xray](https://www.wearedevelopers.com/videos/2005-improving-quality-with-agentic-ai-with-rovo-dev-and-xray) - [The AI-Native Engineering Org: What’s Real, What’s Hype, What’s Next](https://www.wearedevelopers.com/videos/100004-the-ai-native-engineering-org-what-s-real-what-s-hype-what-s-next) - [AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment](https://www.wearedevelopers.com/videos/1152-ai-model-management-life-circles-ml-ops-for-generative-ai-models-from-research-to-deployment) - [Bringing AI Model Testing and Prompt Management to Your Codebase with GitHub Models](https://www.wearedevelopers.com/videos/1536-bringing-ai-model-testing-and-prompt-management-to-your-codebase-with-github-models) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [Dev Digest 132 - Binging WADFlix?](https://www.wearedevelopers.com/magazine/473-dev-digest-132-binging-wadflix) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)