Prevail Recruiting
Founding Data & Applied AI Engineer
Location:
New York, NY (Onsite)
Employment Type:
Full-Time
About the Opportunity
Our client is an
early-stage, venture-backed AI healthcare startup
building the infrastructure that powers the next generation of personalized medicine. With a founding team of proven entrepreneurs, clinicians, and engineers, they're scaling rapidly across the U.S. and backed by top-tier investors and industry leaders.
This is a unique opportunity to join as a
Founding Data & Applied AI Engineer
and help architect and scale the core systems that power intelligent, real-time healthcare automation. You'll work directly with the founders and product leadership to take the company from 0→1 - designing, deploying, and optimizing production-grade AI systems and data infrastructure from scratch.
What You'll Do
Architect and evolve scalable
data pipelines and relational models
for complex medical and operational data. Build and deploy
LLM-driven agentic search and retrieval systems . Design
AI-native, event-driven orchestration systems
to power autonomous workflows. Work across a modern dual backend stack ( NestJS / FastAPI ) and integrate seamlessly with AI SDKs and APIs. Optimize
prompt pipelines
for cost, latency, and performance. Build and maintain secure, type-safe
RESTful APIs
for both frontend and AI use cases. Collaborate closely with product, frontend, and leadership teams to translate complex data needs into scalable, real-world solutions. Tech Environment
Backend:
Python (FastAPI), TypeScript (NestJS) Frontend:
React, Next.js, Tailwind AI & LLM Infra:
OpenAI, Vercel AI SDK, BAML, LangChain, custom tool-calling frameworks Cloud:
GCP (Vertex AI, Cloud Run, Pub/Sub) What We're Looking For
3+ years in
backend, data, or ML engineering Deep understanding of
data architecture & SQL modeling Experience building or integrating
AI/LLM-based systems Hands-on GCP experience (Vertex AI, Cloud Run, Dataflow preferred) Excited by the opportunity to build and scale a company from the ground up Nice to Have
Experience with
LLM integration
(OpenAI, Anthropic, Gemini, etc.) Exposure to
RAG pipelines
or
vector database systems Compensation & Benefits
Base Salary:
$200,000 - $250,000 Equity:
0.5% - 1.5% Visa sponsorship available Opportunity to shape a high-growth AI company at the founding stage
Why This Role
Join a mission-driven team using AI to reshape healthcare delivery. You'll have direct ownership over foundational systems, ship real products that are already deployed in clinics nationwide, and work alongside world-class engineers and founders who have scaled multiple startups to IPO.
Location:
New York, NY (Onsite)
Employment Type:
Full-Time
About the Opportunity
Our client is an
early-stage, venture-backed AI healthcare startup
building the infrastructure that powers the next generation of personalized medicine. With a founding team of proven entrepreneurs, clinicians, and engineers, they're scaling rapidly across the U.S. and backed by top-tier investors and industry leaders.
This is a unique opportunity to join as a
Founding Data & Applied AI Engineer
and help architect and scale the core systems that power intelligent, real-time healthcare automation. You'll work directly with the founders and product leadership to take the company from 0→1 - designing, deploying, and optimizing production-grade AI systems and data infrastructure from scratch.
What You'll Do
Architect and evolve scalable
data pipelines and relational models
for complex medical and operational data. Build and deploy
LLM-driven agentic search and retrieval systems . Design
AI-native, event-driven orchestration systems
to power autonomous workflows. Work across a modern dual backend stack ( NestJS / FastAPI ) and integrate seamlessly with AI SDKs and APIs. Optimize
prompt pipelines
for cost, latency, and performance. Build and maintain secure, type-safe
RESTful APIs
for both frontend and AI use cases. Collaborate closely with product, frontend, and leadership teams to translate complex data needs into scalable, real-world solutions. Tech Environment
Backend:
Python (FastAPI), TypeScript (NestJS) Frontend:
React, Next.js, Tailwind AI & LLM Infra:
OpenAI, Vercel AI SDK, BAML, LangChain, custom tool-calling frameworks Cloud:
GCP (Vertex AI, Cloud Run, Pub/Sub) What We're Looking For
3+ years in
backend, data, or ML engineering Deep understanding of
data architecture & SQL modeling Experience building or integrating
AI/LLM-based systems Hands-on GCP experience (Vertex AI, Cloud Run, Dataflow preferred) Excited by the opportunity to build and scale a company from the ground up Nice to Have
Experience with
LLM integration
(OpenAI, Anthropic, Gemini, etc.) Exposure to
RAG pipelines
or
vector database systems Compensation & Benefits
Base Salary:
$200,000 - $250,000 Equity:
0.5% - 1.5% Visa sponsorship available Opportunity to shape a high-growth AI company at the founding stage
Why This Role
Join a mission-driven team using AI to reshape healthcare delivery. You'll have direct ownership over foundational systems, ship real products that are already deployed in clinics nationwide, and work alongside world-class engineers and founders who have scaled multiple startups to IPO.