Full-Stack AI Engineer — Ground-Floor Equity & Fast Impact

Meet Life Sciences; New York (NY); On-site; USD 100,000 - 150,000; Full time

Job summary

Meet Life Sciences is seeking a high-output full-stack engineer with 1 to 5 years of experience to build production-grade AI agents and enterprise systems. You will work on LLM-enabled automation, RAG pipelines, and scalable backend services at a fast-moving startup.

You’ll design FastAPI services, orchestrate background jobs with Celery and Redis, and integrate AWS, Postgres, and vector stores. Join a ground-floor team shaping pharma tech and equity upside.

Qualifications

• Experience with building production-grade AI agents and enterprise systems.
• Ability to design scalable backend APIs and background workflows.
• Experience with LLMs, RAG pipelines, and modern cloud tech.

Responsibilities

• Own core application layers, build scalable backend APIs and background workflows for production-ready LLM agents.
• Design FastAPI services, Celery/Redis jobs, S3-first file pipelines, and contribute to Next.js frontend touchpoints.
• Collaborate with leadership to shape the core product stack.

Skills

Python

Full-stack development

LLMs & RAG pipelines

Distributed systems

Problem solving

Fast-paced startup

Tools

Docker

AWS

PostgreSQL

Pinecone

Redis

Celery

Next.js

FastAPI

Job description

Meet Life Sciences is seeking a high-output full-stack engineer with 1 to 5 years of experience to build production-grade AI agents and enterprise systems. You will work on LLM-enabled automation, RAG pipelines, and scalable backend services at a fast-moving startup.

You’ll design FastAPI services, orchestrate background jobs with Celery and Redis, and integrate AWS, Postgres, and vector stores. Join a ground-floor team shaping pharma tech and equity upside.