AI Engineer

Arbital Health

AI Engineer building conversational AI for Arbital Health’s value-based healthcare contract platform. Developing RAG, evaluation, and production LLM systems for real-time analytics.

Posted 8/19/2026full-timeSan Francisco • California • 🇺🇸 United StatesJuniorMid-Level💰 $155,000 - $180,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and deploying conversational AI solutions, with a strong focus on data accuracy, compliance, and real-time analytics in healthcare environments. Proficient in leveraging machine learning frameworks and cloud services to enhance AI architecture and product delivery.

Highest-signal resume keywords

Python ProficiencyMachine Learning ExperienceAI Orchestration FrameworksData-Intensive SaaS DevelopmentHIPAA Compliance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningAI DevelopmentData EngineeringContext EngineeringReal-Time AnalyticsQuality Control ProceduresDeployment ManagementTroubleshootingCloud ML ServicesData Integrity

Soft Skills

CollaborationProblem-SolvingInnovation

Tools & Technologies

LangChainADKAirflowDatabricksVertex AIAWS BedrockSageMakerGCP

Industry Keywords

Conversational AIHealthcare DataSaaS PlatformsComplianceAnalytics

Tech Stack

Tools & technologies

AirflowAWSCloudGoogle Cloud PlatformPython

About the role

Key responsibilities & impact

Develop Arbital’s next-generation conversational AI
Build retrieval and evaluation pipelines and knowledge systems that ground model responses in production
Collaborate with actuarial scientists, data scientists, data engineers, and product managers on Arbital’s AI strategy
Manage deployment and monitoring of AI solutions in production environments
Troubleshoot production issues
Ensure data accuracy, integrity, privacy, security, and compliance through automated quality control procedures
Advance AI architecture for interacting with complex and unstructured healthcare contract and financial data
Deliver real-time analytics and visualizations
Drive evaluation and production-scale deployment of LLMs within a HIPAA-compliant environment
Reduce analytics time for strategic decision-making

Requirements

What you’ll need

2+ 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 such as LangChain and ADK
Familiarity with context engineering pipelines including RAG, memory, summarization, compression, and grounding
Proficiency in Python and cloud ML services such as Vertex AI, AWS Bedrock, and SageMaker
Experience with Airflow, Databricks, and AWS or GCP
Ability to ship high-caliber code and build exceptional products
Passion for improving and innovating
Hybrid work from the San Francisco Bay Area; prioritized candidates can work two days per week from the San Francisco office
Remote candidates must be able to travel to San Francisco for in-person collaboration several days per month

Benefits

Comp & perks

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