Staff Backend AI Engineer

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Arbiter

11 - 50 employees

Founded 2025

☁️ SaaS

⚕️ Healthcare Insurance

SaaS • Healthcare Insurance

Arbiter is a care orchestration platform that unifies patients, payers, and providers on a single intelligent system to automate referrals, prior authorizations, scheduling, and care optimization. The modular SaaS embeds into existing clinical workflows, consolidates clinical, financial, and policy data, and uses AI-driven routing and automation to improve referral matching, reduce administrative burden, and ensure timely, cost-effective care. Arbiter is built by industry operators and integrates with EMRs and payer systems to deliver closed-loop execution across the care continuum.

📋 Description

• Build The Agentic Platform: Design, develop, and operate the backend systems that power Arbiter’s agent-driven care orchestration workflows, including service orchestration, inference pipelines, and automation primitives. • Production AI Systems: Ship and maintain production-grade AI systems that automate complex clinical and administrative workflows, with real customer dependency and strict reliability, latency, and correctness requirements. • Platform Architecture & Scalability: Contribute to the architectural design of Arbiter’s AI-driven platform, emphasizing modularity, extensibility, scalability, and clean integration with EMRs, data systems, and external services. • Inference & Backend Reliability: Ensure high performance, low latency, and fault tolerance across backend services and AI inference pipelines through strong system design, monitoring, and operational best practices. • Infrastructure & Deployment Excellence: Implement and uphold best practices for CI/CD, testing, observability, and deployment of backend and AI systems in production environments. • Cross-Functional Execution: Partner closely with data scientists, product managers, clinical experts, and other engineers to translate ambiguous, high-impact problems into scalable technical solutions. • Technical Leadership & Mentorship: Mentor engineers, contribute to internal documentation and standards, influence technical direction, and raise the overall engineering bar. • Ownership & On-Call: Take end-to-end ownership of critical systems, including participating in on-call rotations and leading incident resolution when production issues arise.

🎯 Requirements

• 8 + years of hands-on experience building and operating production backend systems, recent experience with AI-powered services and automation workflows, in high-availability environments. • Computer Science or Engineering degree, or equivalent practical experience. • Experience building and maintaining large-scale Python codebases with strong opinions on structure, quality, and tradeoffs. • Proven experience designing and operating complex backend systems in production. • Deep understanding of concurrency, scalability, reliability, and distributed systems patterns. • Hands-on experience with async or event-driven architectures. • Experience designing and operating high-scale APIs (REST and/or gRPC), including versioning and backward compatibility. • Experience with cloud infrastructure (AWS, GCP, or Azure) and production deployments. • Experience building and shipping AI-powered systems beyond prototypes or internal demos. • Strong communication skills and ability to work effectively across functions.

🏖️ Benefits

• Highly Competitive Salary & Equity Package: Designed to rival top FAANG compensation, including meaningful equity. • Generous Paid Time Off (PTO): To ensure a healthy work-life balance. • Comprehensive Health, Vision, and Dental Insurance: Robust coverage for you and your family. • Life and Disability Insurance: Providing financial security. • Simple IRA Matching: To support your long-term financial goals. • Professional Development Budget: Support for conferences, courses, and certifications to fuel your continuous learning. • Wellness Programs: Initiatives to support your physical and mental health.

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