Lead Clinical Automation & AI Systems Engineer

Lead Clinical Automation & AI Systems Engineer

Department

Clinical Operations & Technology Engineering

Reports to

Founders & Associate Director of Clinical Operations

Location

Midtown Manhattan, NYC (Hybrid preferred; Remote considered for exceptional candidates)

Salary

150-200k yearly

About Generation Next Fertility (GNF)

Generation Next Fertility (GNF) is a premier, physician-led reproductive care practice. Fertility treatments (IVF, egg freezing, embryo transfers, pre-conception testing) require deeply complex, high-touch workflows spanning clinical decision-making, real-time lab orchestration, insurance pre-authorizations, and compassionate patient communication.

We believe the future of clinical excellence lies at the intersection of empathetic care and agentic software infrastructure. We are hiring a Lead Clinical Automation & AI Systems Engineer to own the technical architecture that reduces operational friction, unburdens clinical teams, and builds the next generation of automated clinical workflows.

The Mission

You will design, build, edit, and deploy the internal software and agentic workflows that power GNF.This role goes far beyond simple

RPA scripts or Zapier zaps

you will architect resilient, event-driven pipelines where autonomous AI agents augment human expertise —handling everything from automated patient chart preparation and cycle intake to real-time prior-authorization processing and care coordination.

What You’ll Build & Own

Autonomous & Assistive Clinical Agents

Design, test, and deploy multi-agent systems that autonomously execute multi-step operational tasks (e.g., insurance verification, medication schedule reconciliation, lab result triaging, and patient-tailored educational updates).

Stateful Workflow Orchestration

Build resilient, state-driven workflow pipelines (using modern orchestration platforms like Temporal, Inngest, or LangGraph) that safely bridge probabilistic LLM outputs with deterministic clinical operations.

Human-in-the-Loop (HITL) Architectures

Architect internal tooling and queues that allow physicians, embryologists, and patient coordinators to supervise, inspect, and approve AI-generated actions before they write back to production systems.

EHR & Systems Interoperability

Build reliable API-level integrations connecting our core Electronic Health Record (EHR) / IVF Practice Management Systems (eIVF) with our communications stack, billing engines, and laboratory data layers.

Reliability, Evals & Guardrails

Implement programmatic validation layers (e.g., Pydantic, Instructor), safety guardrails, and automated evaluation suites to continuously measure model latency, hallucination rate, token cost, and clinical accuracy.

Operational Discovery & Technical Roadmapping

Embed with clinical coordinators, billing specialists, and fertility doctors to reverse-engineer messy, manual workflows and convert them into clean, high-scale software systems.

What You Bring

Core Software & Engineering Foundations

3–5+ years of professional software development experience (proficient in Python and/or modern TypeScript).

Solid understanding of API architecture (REST, webhooks, GraphQL), event-driven systems, and modern relational databases (PostgreSQL/SQL).

Direct experience working with healthcare standards and APIs (FHIR, HL7, SMART on FHIR), and working within HIPAA/HITECH security envelopes.

Applied AI & Automation Tooling

Agentic Frameworks

Hands-on experience building with modern LLM orchestration frameworks (LangGraph, LlamaIndex, CrewAI, AutoGen) and stateful workflow engines (Temporal, Inngest, or AWS Step Functions).

Deterministic AI Engineering

Deep knowledge of tool-calling / function-calling, structured data extraction (Pydantic, Instructor, Outlines), and Retrieval-Augmented Generation (RAG) over clinical or operational SOPs.

Model Monitoring & Evaluation

Familiarity with tracing, evals, and observability tools (e.g., Langfuse, LangSmith, Arize Phoenix, DeepEval).

Mindset & Problem Solving

Pragmatism Over Hype

You recognize when a problem calls for an autonomous agent vs. a fast deterministic Python script vs. a vendor SaaS tool. You optimize for uptime, clinical safety, and user adoption.

Cross-Functional Fluency

You can speak technical details with software vendors in the morning, and sit elbow-to-elbow with a clinical coordinator or fertility physician in the afternoon to map their workflow.

Product Ownership

Comfortable operating in a fast-paced environment where you own the full lifecycle from problem discovery through implementation, unit testing, user training, and maintenance.

Nice-to-Haves

Direct domain experience in fertility care, reproductive endocrinology, ambulatory care, or health-tech startups.

Experience building custom internal front-ends (Retool, Streamlit, React, or Next.js) for internal human-review interfaces.

Track record of successfully replacing legacy RPA (UiPath, Power Automate) with clean, maintainable code-based microservices.

Why GNF?

Massive Leverage

You will not be a minor cog in an IT department. You will be building the core nervous system of an elite fertility practice, with leadership access directly to founders and clinical heads.

Tangible Real-World Impact

Fertility is deeply emotional and time-critical. The systems you build directly lower cycle stress for intended parents and stop clinical staff burnout.

Modern Tech Freedom

We don't want band-aids. You have the mandate and budget to implement modern, state-of-the-art tools and AI architectures without enterprise red tape.

Comprehensive Benefits

Competitive salary, bonus, health insurance, 401(k) matching, and work flexibility.