Staff AI Backend Engineer

Salary: up to $250,000 per annum + bonus About The Client They are building an AI-powered care orchestration platform designed to unify fragmented healthcare systems and improve patient outcomes at scale. The platform combines agentic AI workflows with a robust backend infrastructure to automate complex clinical and operational processes. The product is backed by significant early-stage funding and led by operators with experience scaling healthcare and technology platforms nationally. The focus is on delivering a production-grade, patient-facing AI system that operates reliably in high-stakes environments. They are looking for staff-level engineers to help design, build, and scale the backend systems that power the platform. They operate as a high-performing engineering team focused on delivering high-quality, impactful systems. Their values include: Engineering Excellence: Strong ownership of technical quality, performance, and reliability Impact-Driven Development: Building systems that solve real-world problems at scale Continuous Growth: Learning, mentorship, and raising the bar across the team Responsibilities As a Staff Backend AI Engineer, you will design, build, and operate the backend AI systems that power Arbiter’s intelligent care orchestration platform. You will own critical parts of our agentic infrastructure, from low-latency inference pipelines to workflow automation and service orchestration, working closely with product, data, and clinical partners to ship production-grade AI systems with real customer dependency. Build the Agentic Platform: Design, develop, and operate backend systems powering agent-driven workflows, including orchestration layers, inference pipelines, and automation primitives Production AI Systems: Ship and maintain production-grade AI systems automating complex clinical and administrative workflows with strict reliability and latency requirements Platform Architecture & Scalability: Contribute to architecture with a focus on modularity, extensibility, and integration with EMRs, data systems, and external services Inference & Backend Reliability: Ensure high performance, low latency, and fault tolerance across backend services and AI pipelines Infrastructure & Deployment: Implement best practices across CI/CD, testing, observability, and production deployments Cross-Functional Execution: Partner with data scientists, product, and clinical teams to translate complex problems into scalable systems Technical Leadership & Mentorship: Raise the engineering bar through mentorship, standards, and technical direction Ownership & On-Call: Own systems end-to-end, including incident response and operational excellence Skills & Experience Strong experience building complex production systems in Python, with a focus on scalability and reliability Proven ability to design and operate highly scalable, distributed systems in production Deep expertise in event-driven architectures, concurrency (multi-processing, multi-threading, async), and distributed system design Strong experience designing and building distributed services (REST and/or gRPC) and service-oriented architectures Experience designing data processing pipelines, including intelligent decision-making systems and workflow orchestration Hands-on experience building AI-powered systems, including LLM integrations and understanding trade-offs (latency, cost, accuracy) Experience implementing agentic workflows or finite state machines for complex, multi-step processes Strong experience with metrics, observability, and evaluation systems to measure reliability, performance, and scalability Experience working with large-scale data processing and analytics (e.g., pandas, BigQuery or similar) Solid experience with PostgreSQL and data modelling at scale (e.g., multi-tenant systems, performance optimisation) Production experience with cloud infrastructure (GCP preferred), including AI and data platforms (e.g., Vertex AI, BigQuery or similar) Strong practices across CI/CD, monitoring, and production operations Experience integrating with external systems/APIs, ideally in complex domains (e.g., healthcare, EHR/EMR) Demonstrated ability to operate at staff level, including system ownership, architectural decision-making, and mentoring engineers Minimum Qualifications 8+ years of hands-on experience building and operating production backend systems, including recent experience with AI-powered services Computer Science or Engineering degree, or equivalent practical experience Proven experience designing and operating complex backend systems in production Deep understanding of scalability, reliability, and distributed systems patterns Experience with async or event-driven architectures Experience building and shipping AI-powered systems beyond prototypes Strong communication and cross-functional collaboration skills Preferred Qualifications Experience building agentic workflows, including multi-agent systems and human-in-the-loop patterns Experience integrating LLM APIs, prompt engineering, and evaluation techniques Familiarity with AI-assisted development tools (e.g., Cursor, Claude Code, GitHub Copilot) Track record of delivering complex systems end-to-end with minimal oversight Experience in startup or high-growth environments Location This role can be remote or onsite, based in New York City or Boca Raton, in a fast-paced, collaborative environment where ideas move quickly from concept to production. We offer a comprehensive and competitive benefits package designed to support your well-being and professional growth: Generous Paid Time Off (PTO) to support work-life balance Comprehensive health, vision, and dental insurance for you and your family Life and disability insurance for financial security Simple IRA matching to support long-term financial goals Wellness programs supporting physical and mental health #J-18808-Ljbffr ByteHire