Full Stack Engineer - AI Agents

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

Reinvent how life sciences commercialize therapeutics at 100x speed! If you are a high-output full-stack engineer with 1 to 5 years of experience eager to build production-grade AI agents and robust enterprise systems, our client wants to hear from you. This ground-floor opportunity puts you at the bleeding edge of LLMs, Retrieval-Augmented Generation (RAG), and compliant automation. Step into a high-velocity startup backed by top-tier investors where your code, architectural decisions, and relentless drive will directly define the future of pharma tech.

Description

Our client is a startup redefining pharmaceutical marketing through compliant, reference-backed automation, partnering with top life sciences manufacturers and dozens of major brands. Working in this early-stage environment means collaborating directly with leadership to shape the core product stack.

• The Challenge: Own core application layers, build scalable backend APIs and background workflows, and safely package production-ready LLM agents.
• The Difference: Push the boundaries of technology by experimenting with advanced frameworks and frontier AI models to solve complex enterprise problems.
• Core Responsibilities: Design FastAPI services, build background job platforms with Celery and Redis, orchestrate S3-first file pipelines, and contribute to Next.js frontend touchpoints.
• Why Apply: Enjoy ground-floor equity, incredible career acceleration, and the chance to build a high-impact commercial engine from the ground up.

Skills

• Strong proficiency and hands‑on professional experience in full‑stack web development technologies, specifically Python, FastAPI, Docker, and AWS.
• Demonstrated experience working with cutting‑edge LLMs (such as GPT, Claude, and Gemini) to create advanced RAG pipelines, workflows, and agentic solutions.
• Solid background building and scaling distributed systems, handling everything from relational databases like Postgres to vector databases like Pinecone.
• Exceptional independent problem‑solving skills combined with an unreal work ethic and a passion for moving fast in a high‑velocity startup.