Software Engineer, Founding Team

f you started today, what would you do?
Build agentic workflows
Work closely with the entire team and our customers to translate real world engineering and project management workflows into AI workflows. You will need strong judgement here and will be responsible for helping shape the requirements of what to build. There will be lots of ambiguity - we’re definitely exploring the unknown and figuring out best practices on the fly. This means we often run into dead ends and need to change our approach, but it’s super satisfying when it works.
Decompose each workflow into automatable components. Set up agents, prompt chains, tools, evaluations, and APIs.
Decide what to automate today vs wait until models improve.
Build generalized services (domain‑specific calculators, file parsing, data validation, etc) to be used by multiple automated workflows.
Build a scalable versioned data model that future products can rely on.
Ship the production grade web app
Collaborate with Jordan to turn designs into production systems. Sometimes you'll get rough design mocks or bullet points, sometimes it will be fully functional web apps that you'll have to rip components out of, etc. You'll contribute your technical perspective and taste to shape the platform.
Turn Russ's scripts or James's Excel models into robust, maintainable product. These will likely be technical in a domain you are not strong in (yet). Eg: thermodynamic calculations to determine heat and mass balances across a system. You’ll need to properly document this for future SWEs who aren’t domain experts and build in resilience and observability as needed for humans and agents.
Build everything we need into the product (dashboard, task management, notifications, 2D flow charts, 3D CAD functionality, etc). Lots of scope and range - you’ll initially be the sole owner of this repo.
Set up evals & observability
Co‑design explicit grading mechanisms (task correctness, completeness, safety, etc) with Russ, James, and a few other domain specific engineers that will join soon. Jordan and Alex will also be involved in this. Building a killer set of evals is arguably the most important thing we do in the next 6-12 months.
Enable Russ and other domain engineers on our team to rapidly iterate through new tests and optimizations to automate workflows.
Select and implement tools and standards
Full stack for production web app.
Jordan will likely provide most of the UI in react components via V0/cursor. Ideally you help Jordan get even more leverage to cut down the need for additional front end work and establish super low friction handoff. Jordan is a software engineer by education, but an incredibly talented product designer (this is where he should spend his time).
Try new frameworks, DBs, APIs, and other tools, to build the product and communicate whats possible back to the rest of the cross-discipline eng team. We want you to build strong opinions that are likely going to shift as we all learn more and tech advances.
Set standards for engineering at Unlimited (code quality, reviews, interviewing process, etc)
At the end of the day, you will be the first dedicated software engineer and responsible for wearing a ton of hats. This is not a straight forward SaaS web app. It will require you working in a fully deployed motion with customers and closly with our cross discipline team to contribute to set the requirements. You’ll set the tone for the team as we scale and have incredible influence on the direction of this company.

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Core Competencies
Must‑haves
Demonstrated ownership of backend / platform services end‑to‑end, architected, shipped, and supported in production.
Bias to act, learn, iterate. We find answers through rapid cycles, not endless theorizing.
Excellent communicator across software & non‑software engineering roles.
Great technical design judgment.
Strong data‑modeling instincts (schemas, migrations, indexing).
Hands‑on experience with AI/LLM tooling (e.g., prompt chains, evaluation harnesses, agent frameworks) and a demonstrated curiosity to keep experimenting with new capabilities.
Nice‑to‑haves
Experience with CAD and simulation tools
Lots of hands‑on with new AI tools (you’re a tinkerer)
Infra / construction‑tech / digital‑twin / physical engineering domain exposure