Senior Back End Engineer (API & Agentic AI)

What You’ll Do

Backend & Platform Architecture

• Contribute to the design and implementation of a multi-service backend architecture
• Design, build, and maintain robust, well-documented APIs for internal and external consumers
• Help define backend standards that support both traditional SaaS workflows and AI-driven, agent-based execution
• Collaborate on architectural decisions and provide technical guidance within the engineering team

Agentic AI Enablement

• Design backend primitives and services that support agentic AI systems (e.g., task execution, state management, orchestration, tool invocation)
• Build APIs and infrastructure that allow AI agents to safely interact with internal services, data, and external systems
• Implement guardrails for agent execution, including authorization boundaries, auditability, rate limits, and failure handling
• Partner with data science and ML engineers to productionize AI workflows in a reliable, observable, and secure way

Backend Best Practices & Reliability

• Implement and improve backend best practices, including:
• Authentication and authorization (token-based auth, RBAC, service-to-service auth)
• Idempotency and safe retry mechanisms
• Consistent error modeling and API contracts
• Input validation and schema enforcement
• API versioning and backward compatibility
• Ensure backend services follow strong networking and security principles
• Help establish and maintain observability standards (logging, metrics, tracing)
• Write high-quality, well-tested TypeScript code

What We’re Looking For

• 7+ years of professional software engineering experience, primarily focused on backend systems
• Strong expertise in TypeScript for server-side development
• Proven experience designing and implementing APIs for complex systems
• Experience with Nest.js or another major TypeScript backend framework (e.g., AdonisJS, Express, Fastify, Koa)
• Solid understanding of:
• HTTP and networking fundamentals
• API security and authentication/authorization patterns
• Reliability concerns in distributed systems
• Experience with:
• API documentation (OpenAPI / Swagger)
• Testing strategies (unit, integration, API tests)
• Validation and contract-driven development
• A pragmatic, ownership-oriented mindset with strong engineering judgment
• Comfort working in systems that mix deterministic software with probabilistic AI components

Nice to Have

• Experience participating in monolith-to-services or modularization efforts
• Experience supporting external, customer-facing APIs
• Experience designing systems that support AI agents, workflows, or automation platforms
• Familiarity with LLM tooling concepts (tools/functions, agent loops, structured outputs)
• Experience with Effect
• Familiarity with healthcare, life sciences, or regulated environments
• Experience with cloud-native deployments and production observability tooling

Why QuantHealth

• Work on technically deep problems at the intersection of backend systems and AI in healthcare
• Help shape both a scalable backend platform and the foundations of agentic AI capabilities
• Collaborate with a thoughtful, high-caliber engineering team
• Competitive compensation and opportunities for growth