Full Stack AI Engineer

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 Infinity Commons , our shared library of frameworks, prompts, and reusable tools

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-context, 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 . The first month is a paid trial at $75/hour. 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 (e.g. LangChain , CrewAI , AutoGen), 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

Occasionally embed with portfolio companies to support launches or unblock execution

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

Prior work with AI agents , vector databases, or retrieval-augmented generation (RAG)

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

A background in a STEM discipline , data science, or quant-heavy engineering

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