AI Backend Engineer

up to $250,000 per annum + bonus

They are building an AI-powered care orchestration platform designed to unify fragmented healthcare systems and improve patient outcomes  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

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

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, Big Query or similar)

Solid experience with PostgreSQL and data modelling at…