Founding Full-Stack Engineer for AI-Powered Life Sciences SaaS

meet life sciences • New York City Metropolitan Area
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AI Summary

Join an ambitious early-stage team building AI-powered software for the healthtech industry. As a Founding Full-Stack Engineer, you will own key parts of the product, from backend services and APIs through to LLM agents, infrastructure, integrations, and deployment pipelines. You will work closely with the founders to build production-grade AI applications used by leading pharmaceutical teams.

Key Highlights
Build and scale core backend services, APIs, and application workflows
Develop reliable systems for ingestion, retrieval, annotation, and compliance-focused processes
Collaborate directly with the founders on product direction, technical decisions, and startup growth
Key Responsibilities
Build and scale core backend services, APIs, and application workflows
Develop reliable systems for ingestion, retrieval, annotation, and compliance-focused processes
Collaborate directly with the founders on product direction, technical decisions, and startup growth
Technical Skills Required
Python FastAPI Docker AWS LLMs RAG pipelines agentic workflows AI-based product development Databases Caching Queues Cloud-based systems
Benefits & Perks
Competitive NYC compensation: $150,000–$275,000 depending on experience
Ground-floor equity opportunity
Health, dental, and vision insurance
401(k)
Visa sponsorship available
Professional growth stipend
Relocation support
Nice to Have
Experience with LangChain, LangGraph, or similar LLM orchestration frameworks
Experience with Celery, Redis, Postgres, Pinecone, or other vector databases
Exposure to pharma, life sciences, healthcare, or regulated industries

Job Description


Role: Founding Full-Stack Engineer

Space: AI / Life Sciences SaaS

Location: New York City, Onsite 5 days a week


Interested in joining an ambitious early-stage team building AI-powered software for the healthtech industry?


Meet is currently partnered with a rapidly growing, venture-backed company transforming how life sciences organisations build, approve and launch commercial content. This is an exciting opportunity to join as an early engineering hire, working closely with the founders to build production-grade AI applications used by leading pharmaceutical teams.


The role will focus on owning key parts of the product, from backend services and APIs through to LLM agents, infrastructure, integrations and deployment pipelines.


Expectations:

  • Build and scale core backend services, APIs and application workflows
  • Develop reliable systems for ingestion, retrieval, annotation and compliance-focused processes
  • Package and deploy LLM/RAG agents into production environments
  • Build background job systems, queues and workflows for scheduling, retries and processing at scale
  • Work across cloud infrastructure, deployment, secrets management, networking and autoscaling
  • Develop integrations with enterprise platforms used across pharmaceutical marketing and content workflows
  • Support file processing, OCR, embedding pipelines and metadata enrichment across documents and images
  • Collaborate directly with the founders on product direction, technical decisions and startup growth
  • Contribute across the full stack, including frontend development where needed


Requirements:

  • Strong full-stack engineering background with experience building and deploying production software
  • Hands-on experience with Python, FastAPI, Docker and AWS
  • Experience designing APIs, backend services, distributed workflows and scalable application architecture
  • Exposure to LLMs, RAG pipelines, agentic workflows or AI-based product development
  • Strong understanding of databases, caching, queues and cloud-based systems
  • Ability to work independently, make decisions and take ownership in a fast-paced startup environment
  • Excellent communication skills and comfort working closely with founders, product teams and customers
  • Strong engineering fundamentals with the ability to ship quickly while maintaining reliable, observable systems


Nice to have:

  • Experience with LangChain, LangGraph or similar LLM orchestration frameworks
  • Experience with Celery, Redis, Postgres, Pinecone or other vector databases
  • Exposure to pharma, life sciences, healthcare or regulated industries
  • Experience building integrations with enterprise platforms such as Veeva, Adobe or Figma
  • Background working in early-stage startups or high-growth engineering environments
  • Interest in AI applications across commercialisation, compliance or pharmaceutical marketing


Benefits:

  • Competitive NYC compensation: $150,000–$275,000 depending on experience
  • Ground-floor equity opportunity
  • Health, dental and vision insurance
  • 401(k)
  • Visa sponsorship available
  • Professional growth stipend
  • Relocation support
  • High-velocity, high-impact startup environment


Please apply above if interested and connect with the hiring manager!


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