Clinical Systems Full-Stack AI Engineer — Impact & Equity

Alnu Health; New York (NY); On-site; USD 140,000 - 180,000; Full time

Benefits offered by this job

Equity

Job summary

Alnu Health is seeking a Full-Stack AI Engineer for Clinical Systems to build the intelligence layer that turns clinically reviewed knowledge and longitudinal patient context into personalized support. You will own systems spanning data ingestion, memory, retrieval, model orchestration, validation, and backend services linking care teams to patients.

This deeply technical, product‑driven role partners with engineering leadership, product, and clinicians, offering substantial ownership over core

Qualifications

• 3 to 5 years of professional software engineering experience.
• Experience building and operating production backend systems.
• Able to ship meaningful product features across more than one layer of the stack.
• Experienced with production LLM-enabled systems beyond basic API integration.
• Understand the strengths and limitations of RAG, embeddings, structured retrieval, tool use, and model orchestration.
• Have built evaluations, test harnesses, feedback systems, or observability for nondeterministic software.
• Care about maintainability, reliability, latency, and cost alongside model quality.
• Can join an unfamiliar codebase, map the system, ask focused questions, and begin contributing quickly.
• Comfortable working from an incomplete specification and owning the design of a feature from initial ticket to production deployment.
• Want substantial ownership in an early-stage startup where engineers participate in product, architecture, testing, and deployment.
• Motivated by improving outcomes for patients with chronic disease.

Responsibilities

• Build a repeatable evaluation system for Alnu Health’s user-facing AI companion using quality, safety, personalization, consistency, and clinical grounding
• Improve how longitudinal patient context is captured, structured, retrieved, prioritized, and used
• Strengthen the pipeline through which clinical guidelines, expert protocols, and reviewed source material become versioned and testable system knowledge
• Develop and improve retrieval, orchestration, verification, and constraint systems
• Design feedback loops that turn product usage and expert review into measurable system improvements
• Optimize model usage for quality, latency, reliability, and cost
• Design and build production backend services using Python and TypeScript
• Ship AI-enabled capabilities across our patient-facing companion, clinician portal, APIs, and supporting infrastructure
• Contribute across the full application stack, including APIs, web interfaces, and mobile experiences
• Investigate failures across data, retrieval, prompts, models, business logic, and product experience
• Write clear, maintainable code and ship through small, well-tested releases
• Work with clinicians to understand the intent behind guidance and encode that intent in reliable systems
• Treat patient privacy, security, auditability, and clinical safety as core engineering requirements
• Communicate technical tradeoffs clearly across engineering, product, clinical, and company leadership

Skills

Backend systems

LLM systems

Retrieval orchestration

Observability

Performance focus

Tools

React

React Native

Python

TypeScript

APIs

Job description

Alnu Health is seeking a Full-Stack AI Engineer for Clinical Systems to build the intelligence layer that turns clinically reviewed knowledge and longitudinal patient context into personalized support. You will own systems spanning data ingestion, memory, retrieval, model orchestration, validation, and backend services linking care teams to patients.

This deeply technical, product‑driven role partners with engineering leadership, product, and clinicians, offering substantial ownership over core