Build the systems that run themselves.

A player coach seat that combines technical lead, delivery owner, and second seat on sales.

Embed with commerce clients and ship agent driven discovery, catalog, and checkout systems into production on their stack, not ours.

Wire LLM agents into the ERPs, CRMs, and ticketing systems enterprises already run, inside the client environment, and make the integrations survive production.

Stand up self hosted and private LLM inference inside client infrastructure, from model selection and serving stack to the agents that run on it, and hand it over running.

Design and build the multi agent systems behind client products and our own platforms: orchestration, tool layers, memory, evals, and the runtime that keeps agents inside their lane.

Design and run the services, APIs, and data layers behind client platforms, in whichever of TypeScript, Python, or Go the job actually calls for.

Build the concurrent services and agent runtimes that sit on the hot path of client systems.

Own features end to end in TypeScript, from the Postgres schema through the API to the interface.

Lead the Python side of our agentic systems: orchestration, data pipelines, and LLM infrastructure.

Build fast, accessible storefronts and product interfaces in React and Next.js for enterprise brands.

Own the Google Cloud footprint behind our agentic systems and client platforms, defined entirely in code.

Architect and run the AWS side of client platforms: serverless, containers, and the data stores under them.

Own the schedulers, pipelines, and glue that keep client platforms and our own operations running without a human pressing the button.

Build and migrate enterprise SFCC storefronts, from SFRA cartridges through to headless PWA Kit.

Open conversations with technical buyers at enterprise brands and build the top of our pipeline.

Own enterprise engagements end to end, from first conversation through signed statement of work.