Senior AI Engineer, Arbital Health

• This role requires a technologist who excels at the intersection of advanced AI models, large-scale systems, and a customer-focused approach
• 8+ years of experience in data-intensive, SaaS platform development projects
• 2+ years of experience with cutting-edge AI systems, context engineering and agentic systems ranging from tool-calling stacks to MCP-style frameworks
• Hands-on experience with AI orchestration frameworks like LangChain, CrewAI, ADK, etc
• Demonstrable experience designing and building conversational AI systems that exhibit autonomous behavior, decision-making, and/or tool usage
• Experience in designing and 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)
• Solid understanding of MLOps principles and experience with tools for model deployment, monitoring, and CI/CD for ML
• Standing up observability for agents (traces, costs, failures, hallucinations, guardrails) and creating dashboards that guide product decisions
• 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
• Ability to perform under minimal supervision with accountability for specific objectives and work in a rapidly changing, ambiguous start-up environment
• Passionate about improving and innovating
• You want to make an impact on the US healthcare system
• 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
• Possess a strong product mindset, prioritizing quality and end-user impact. You strive for technically sound solutions that enhance user workflows, demonstrating a talent for iterative improvement and rigorous testing
• Strategic leadership role in determining the direction of platform development
• The idea of Merlin excites you

Desirable

• We are looking for a visionary, hands-on Senior AI Engineer to drive product innovation by architecting, building, and scaling Merlin's next-generation conversational AI experiences
• As a senior 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:
• Owning the conversational AI architecture for interacting with complex and unstructured healthcare contract and 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
• Supporting thought leadership in the intersection of value-based care, healthcare finance, and artificial intelligence
• Lead the architecture and development of 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 and help shape the conversational AI platform roadmap
• 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
• Mentor junior team members
• Tools we use:
• Infrastructure: AWS, GCP, Databricks, Airflow, Sigma, Datadog
• AI: Vertex AI, Vanna AI, Databricks Vector Search
• Core Tools: Python, R, SQL, Next.js, React, TypeScript, Tailwind CSS
• IDE: Cursor, VS Code, and R Studio
• Version Control: GitHub
• Team Planning / Design: JIRA, Confluence, Figma, Lucid