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Founding Full-Stack Engineer

alexander chapman • New York City Metropolitan Area
Visa Sponsorship
This Job is No Longer Active This position is no longer accepting applications
AI Summary

High-growth startup seeks Founding Full-Stack Engineer to build compliant AI infrastructure for life sciences industry. Responsibilities include building scalable backend services, deploying LLM workflows, and designing background job systems. Ideal candidate has strong full-stack engineering experience and Python skills.

Key Highlights
True 0→1 engineering opportunity
Massive ownership and direct collaboration with the founding team
Elite investor backing and ground-floor equity
Key Responsibilities
Building scalable backend services with FastAPI
Deploying LLM / RAG / agentic workflows into production
Designing background job systems with Celery + Redis
AWS infrastructure, autoscaling & deployment pipelines
OCR, embeddings & large-scale document processing
Enterprise integrations across platforms like Adobe, Figma & Veeva
Contributing across the stack with Next.js where needed
Technical Skills Required
Python FastAPI Docker AWS Celery Redis Next.js GPT Claude Gemini
Benefits & Perks
Elite investor backing
Ground-floor equity
Visa sponsorship available
High-impact environment with real ownership

Job Description


Founding Full-Stack Engineer | NYC (On-site)


An extremely well-funded, high-growth startup operating at the intersection of AI + healthcare is looking for a Founding Full-Stack Engineer to help build the next generation of compliant AI infrastructure for the life sciences industry.


The company is already working with 50+ pharmaceutical brands and is building systems that allow pharma organizations to launch campaigns dramatically faster using LLM-powered workflows, automation, and enterprise-grade infrastructure.


This is a true 0→1 engineering opportunity with massive ownership and direct collaboration with the founding team.


What you’ll be working on:


• Building scalable backend services with FastAPI

• Deploying LLM / RAG / agentic workflows into production

• Designing background job systems with Celery + Redis

• AWS infrastructure, autoscaling & deployment pipelines

• OCR, embeddings & large-scale document processing

• Enterprise integrations across platforms like Adobe, Figma & Veeva

• Contributing across the stack with Next.js where needed


Ideal background:


• Strong full-stack engineering experience

• Python, FastAPI, Docker, AWS

• Experience building or experimenting with GPT / Claude / Gemini workflows

• Strong product ownership & startup mentality

• Comfortable moving quickly in ambiguous environments

• Passion for building production-grade AI systems


Why this opportunity stands out:


• Elite investor backing

• Ground-floor equity

• Visa sponsorship available (O-1, H-1B, TN)

• High-impact environment with real ownership

• Opportunity to shape core infrastructure from the earliest stages

• Working at the frontier of applied AI in healthcare/pharma


They’re looking for ambitious builders who thrive in high-intensity startup environments and want to help define what AI-native enterprise software looks like over the next decade.


DM me if interested.


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