QuantHealth is an AI startup revolutionizing drug development and clinical trials. Our cutting-edge clinical trial simulator can run thousands of trials in parallel to de-risk and optimize real-world clinical trials. Powered by a unique dataset of over 350M patients and 100K drugs, our platform helps drastically reduce drug development costs and timelines. We’re venture-backed, based in Israel, and work with top-tier pharma companies across Europe and the US.
We are looking for a Senior Back End Engineer (API & Agentic AI) to play a key role in the evolution of QuantHealth’s backend architecture and emerging AI platform capabilities. This role will contribute significantly to the transition from a monolithic application to a multi-service backend platform, while also helping design and implement the backend foundations for agentic AI systems used across our product.
You will work on core backend services, API design, and distributed system concerns, and collaborate closely with full stack, product, data science, and security teams to build scalable, secure, and well-observed services that support both human-facing workflows and autonomous AI agents.
What You’ll DoBackend & 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
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
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
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
Top Skills
What We Do
QuantHealth is an AI company conducting patient-centric drug simulations to accelerate and de-risk drug development. Over 90% of drugs in clinical development stage fail to reach the market, which accumulates to a $45B/year direct lost to the pharma and biotech industry. Our platform allows our pharma and biotech partners to rapidly run thousands of variations of their clinical trials to optimize the trial design and significantly increase the probability of trial success, all while enabling discovery of new clinical opportunities and optimization strategies. QuantHealth has one the largest integrated datasets that spans the clinical, pharmacological and biological domains together with a proprietary AI platform that can predict patient-response to both approved and novel therapies.
