AI Engineer

The Role

You'll work directly with the core team to design and build the reasoning engine that powers our AI agent platform. This is a high-ownership engineering role where you'll take ideas from research to production and help define core system architecture.

What You'll Build

- LLM-based reasoning engines for analyzing agent decisions

- AI agents capable of multi-step reasoning and tool usage

- Tool-call understanding and semantic analysis pipelines

- Model evaluation systems to improve reasoning reliability

- Feedback loops that improve model decisions using real usage data

- Integrations with agent frameworks like LangChain, AutoGen, CrewAI, and OpenAI function calling

- Structured agent workflows with decision nodes and execution graphs

What We're Looking For

- Strong foundations in machine learning and NLP fundamentals

- Experience building applications using LLM APIs (OpenAI, Anthropic, or open-source models)

- Experience designing and building AI agents (tool use, planning, memory, multi-step workflows)

- Familiarity with agent orchestration frameworks like LangChain, LangGraph, AutoGen, or CrewAI

- Experience evaluating model outputs and improving performance through testing and iteration

- Comfort working with logs, telemetry, and structured data pipelines

- Bonus: experience with Rust, distributed systems, or large-scale AI systems

Stack

- Core systems: Rust (Tokio), Python, Typescript

- AI layer: OpenAI / Anthropic APIs and open-source models

- Data layer: SQLite (moving toward event pipelines)