Redwagon · San Francisco, United States
What is Redwagon?
Redwagon is creating the world’s first AI Capital Project Engineer - deployable for the teams building the critical infrastructure that powers human life across chemicals, energy, industrials, semiconductors, pharma, data centers, and more.
Our goal is to drive the time it takes to build the physical world around us to zero - going from idea to built reality at the press of a button.
Background
Complex projects - sometimes reaching into the billions of dollars in total installed cost - run on complex documents, datasets and workflows, causing deployment delays, and slowing the progress of human advancement. At Redwagon we’re setting out to solve this problem - but with a different approach. We’re not a platform and we’re not a tool. We’re fundamentally rethinking how to build physical infrastructure - starting at the most atomic level, and automating capital project engineering based on data grounded in truth, and accuracy - allowing our customers to build the physical world faster than anyone ever thought possible, and drive massive revenue growth.
We’re building a world where any company can hire a team of Redwagon engineers - each one with an equivalent 350 years of experience and who have completed thousands of projects across the industrial sector - and deploy them within their existing workflows, on their existing technology stack.
Today, we’re partnering with world-class organizations across EPC, asset owners, and contractors in the complex capital project sector.
The Role
You'll join as a member of the founding team to help build the core platform from the ground up. What you build will be immediately deployed with top tier companies who build the physical infrastructure on which the world runs.
The problems are difficult. A single capital project produces tens of thousands of pages of drawings, datasheets, and specs, and one missed detail can mean millions lost, or years delayed on a project. Your systems have to get it right with real traceability. You'll make foundational technical decisions and ship code to production weekly. The work you will do will have a direct line to how fast novel technologies, chemical plants, climate tech, data centers, and energy facilities get built. You'll report directly to the CEO.
What you’ll do
Own AI architecture, data, models, and production deployment.
Work directly with customers and the CEO.
Required Skills
Expertise in agentic systems: agent harnesses, orchestration, and tuning, training, and evaluating language models
You've shipped these systems to production and can walk through what broke and what you changed
Strong Python, and strong fundamentals in algorithms, data structures, and system design
Judgment about tradeoffs. You know when a task calls for a frontier model, a smaller tuned model, or plain deterministic code. You weigh accuracy, latency, and cost against the problem in front of you rather than chasing the best theoretical solution, and you apply the same judgment to storage, compute, and architecture
Good build-vs-buy instincts. You account for maintenance cost and scaling complexity, not just time to a first version
Interest in training custom models, and the drive to get fluent fast
Nice to Have Skills
Expertise in knowledge representation, machine learning, or document parsing
Experience with GCP; TypeScript and Next.js; FastAPI and Pydantic; deploying into customer-controlled or security-sensitive environments
Capital projects, process engineering, or manufacturing experience
Leadership/team management experience
Additional Info
This is a full-time W-2 position based in San Francisco Bay Area.
Redwagon Systems Inc. is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, disability, or veteran status.