Full Stack AI Engineer

Location: Remote (Global, EST working hours)
Start Date: Rolling

We're building AI-native engineering team within Infinity
, a holding company building full-stack AI businesses. We support portfolio companies by:

• Rapidly prototyping new product ideas to validate markets

• Providing flex capacity during high-growth phases

• Maintaining and evolving the Gravity our in house software factory and agent hub that we use to build all software.

We’re not a dev shop. We’re a surgical team of builders who move fast, reduce ambiguity, and create leverage across a network of founders building with AI at the core.

We’re looking for scrappy, sharp, execution-focused engineers who thrive in high-autonomy environments. You'll be deployed on fast-moving projects; from validating ideas in one-week sprints to helping scale production tools inside early-stage companies.

This is a contract-to-hire role
. If there’s mutual fit, you’ll transition to a full-time or retainer-based role within the core team.

• Build working prototypes of agentic AI applications, LLM workflows, and full-stack products

• Experiment quickly across frameworks, open source tools, and low-code stacks

• Interface directly with product thinkers and founders to distill ambiguous ideas into testable code

• Contribute to shared internal libraries and the Infinity Commons and add features to Gravity, our software factory platform.

• Occasionally embed with portfolio companies to support launches or unblock execution

Required:

• Fluency in Python and experience using AI toolkits and APIs

• Experience rapidly building and iterating on proof-of-concept or MVPs

• Comfort using a blend of commercial APIs, open source, and low-code tooling to get things done

• Strong problem-solving skills and analytical intuition

Bonus Points:

• Prior work with AI agents
  , and a deep familiarity with what it takes to make them work well in production environments.

• Experience with
  frontend development (React, Next.js, etc.)

• A background in a STEM discipline
  , data science, or quant-heavy engineering you'll need to be able to show the impact of your work with statistical significance

• Previous experience in a venture-backed startup or technical founder role

• Asynchronous by default, with tight feedback loops and clear ownership

• High-trust, high-autonomy culture that values shipping, learning, and iterating

• Small, elite team of senior builders with experience across AI, product, and infrastructure