Founding AI Engineer

Kyteagents•New York City, NY

18h•Onsite

About The Position

As a founding engineer at Kyte, you’ll operate at the cutting edge of applied AI with extreme technical and strategic ownership. You’ll build digital twins to model human baselines and predict behavior, orchestrate complex systems of agents, tackle novel distributed systems problems, and work on a platform that looks as futuristic as our mission statement sounds. You'll work directly with the CTO on all parts of the platform, ranging across: Developing Kyte's core platform to ingest data and synthesize “digital twins”, as well as the agentic systems to act on it (eg. Voice, SMS, and Email agents). Memory (how do we represent and refine our customer models?) Detection framework (what are the right primitives for building detection agents?) Agent design (how do we turn signals into reliable autonomous actions?) Distributed systems (how do we run 5000 agents in parallel?) Evals (how can we guarantee our agents are always getting better?) You’ll also interface directly with our customers and own engagements end-to-end.

Requirements

Experience in full-stack development with distributed architectures.
Experience working on systems that process and transform massive amounts of data.
Capability to make practical tradeoffs to ship things fast that work, while making architectural decisions that allow for future scaling.
Ability to explain complex ideas to non-technical people.
Passion for moonshot ideas that feel like magic (eg. realtime UX).
Ability to think big and get excited by problems that feel impossible to solve.
Desire to do the best work of your life and build something you'll be proud of for decades.

Responsibilities

Develop Kyte's core platform to ingest data and synthesize “digital twins”, as well as the agentic systems to act on it (eg. Voice, SMS, and Email agents).
Address challenges related to Memory (how do we represent and refine our customer models?).
Develop the Detection framework (what are the right primitives for building detection agents?).
Design Agent systems (how do we turn signals into reliable autonomous actions?).
Solve Distributed systems problems (how do we run 5000 agents in parallel?).
Develop Evals (how can we guarantee our agents are always getting better?).
Interface directly with customers and own engagements end-to-end.