Full Stack Engineer

Role: Fullstack AI Engineer

Space: AI x Life Sciences

Location: New York City (Onsite)

Interested in building the infrastructure behind production AI agents, and the products people use to interact with them?

We're partnered with a fast-growing, venture-backed AI company building complex enterprise software within life sciences.

They're looking for a Fullstack AI Engineer to join an early engineering team, owning everything from the backend systems powering AI workflows through to customer-facing product experiences.

You'll solve difficult technical problems, influence architecture from day one, and own what you build all the way into production.

What You'll Be Doing:

• Build and scale the infrastructure powering production AI agents

• Develop Python services and APIs supporting complex AI workflows

• Solve problems across agent orchestration, context management, streaming, retries, and failure recovery

• Build customer-facing products using React, Next.js, and TypeScript

• Design backend systems and data models that can scale with increasingly complex workflows

• Improve reliability, performance, testing, and observability across production systems

• Work closely with AI, Product, and Design to turn new capabilities into real product features

• Own projects from technical design through deployment and iteration

What They're Looking For:

• 3+ years of software engineering experience building production systems

• Strong Python backend engineering experience

• Strong fundamentals across APIs, databases, distributed systems, and system reliability

• Experience building AI applications, agent infrastructure, or production LLM systems

• Comfortable building across React, Next.js, and TypeScript

• Strong understanding of testing, observability, security, and production engineering

• Comfortable making architecture decisions and solving ambiguous technical problems

• Excited by high ownership and joining an early engineering team

Why Join?

• Build production AI systems solving genuinely complex engineering problems

• Own major parts of the platform rather than a small piece of a mature codebase

• Influence architecture, product decisions, and technical direction from an early stage

• Work across both AI infrastructure and customer-facing product development

• Ship quickly, see customers use what you build, and iterate from direct feedback

• Competitive compensation, meaningful equity, and strong long-term career progression

If you're interested in learning more, please apply here.