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Meet Life Sciences · New York City Metropolitan Area

Full Stack Engineer - AI Agents

entry_levelfull timePosted 8 days ago
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Stack mentioned

agentic-aillmragfastapirediss3next.jspythondockerawsgeminisystem-designpostgresqlvector-databasespineconeunreal-engine

Summary

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.

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