Bolder Apps

More roles at Bolder Apps

Founding Harness Engineer - AI Agents (US only)

Work from home

Remote role where the employee must remain based in a particular country.

Listed for United States

From the listing details: Source listing states candidate location: "United States, Remote"

Employer listed it 7 days ago · Added 2 weeks ago

Been open since 2 weeks ago, still being checked, but it has been live a while.

Salary

Not stated

Location

Listed for United States

Work style

Async

Contract

Experience

Mid

What the advert says

Quoted word for word from the employer's advert. Where it says nothing, we say so.

Working hours: It is remote-friendly anywhere in the US, and hours that overlap with Pacific time will make the founder very happy.
Where you can work from: It is remote-friendly anywhere in the US, and hours that overlap with Pacific time will make the founder very happy.
Contract: The role starts as a contract, with a path to full-time once it's clearly working for both sides.
Experience asked for: Not mentioned in the advert
Pay: Not mentioned in the advert

Remote flexibility

Work from home

This is a remote role, but the employee must be based in United States. It is work from home rather than work from anywhere.

What the employer says

Source listing states candidate location: "United States, Remote"

What Nomaders makes of it

Residency required in United States
Payroll and tax are likely handled in that country only

The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.

Before you apply

Questions worth asking: Nomaders interpretation

No pay is stated. Ask for the salary range before investing time in interviews.

Produced automatically from this advert's text; not reviewed by a person. The employer's own page is the final word.

About the role

We're hiring for our partner company, an early-stage startup building an AI coworker: an agent that lives inside a team's everyday tools and actually gets work done. They need a senior Founding Harness Engineer to build the layer that makes it behave. How it pulls in context, when it speaks up, which tool it reaches for, when it stops and asks permission, and how it finishes a long task without falling over halfway. You'll join a seasoned founder and a founding team who spent years building technology in the services world. They watched clients ask for agents long before anyone could deliver them, so they know where the real demand is. The role starts as a contract, with a path to full-time once it's clearly working for both sides. It is remote-friendly anywhere in the US, and hours that overlap with Pacific time will make the founder very happy. If you've shipped tool-using agents to real users and want to build the next one from day one, read on.

Our Culture & Values (read before applying)

We move fast. We take ownership. We work with AI, not against it. And we expect everyone to bring ideas, not wait for instructions.

There are no daily checklists, no micromanagement, and no corporate politics. You get autonomy, trust, and a small team that's always ready to help you grow. Here, impact matters more than titles, and curiosity matters more than seniority.

If you want to level up fast and see your work in real users' hands - welcome aboard.

Responsibilities

Build the agent runtime: context, tool choice, approval waits, and knowing when to act, ask, or stay quiet

Write and keep tuning the system prompts. Proactive is great. Spamming the team channel is not

Own the eval and regression harness. Prompt changes are code, so they get tested like code

Make long-running work survive interruptions, retries, and the occasional flaky API

Put the guardrails in: approval gates for risky actions and strict separation between customers' data

Work directly with the founder and early users, and turn what you hear into shipped behavior

Requirements

You’ve shipped tool-using LLM agents to real users in production. Demos and prompt wrappers don’t count

Good instincts for agent initiative, and the test results to back them up

Hands-on experience building eval and regression suites for LLM behavior

You understand safe tool execution, prompt injection, and multi-tenant data risk

Solid backend skills in Python or TypeScript (async jobs, retries, state)

You take a fuzzy problem from prototype to production and can explain the tradeoffs along the way

Excellent written and verbal communication; you can explain a tradeoff to a founder or a user without a whiteboard

Nice to have

MCP, or integrations with tools like Slack, Gmail, Notion, or Linear

Eval and tracing tools such as Braintrust, Langfuse, or LangSmith

You’ve been an early engineer at a startup before and still liked it

Requirements

·You’ve shipped tool-using LLM agents to real users in production. Demos and prompt wrappers don’t count
·Good instincts for agent initiative, and the test results to back them up
·Hands-on experience building eval and regression suites for LLM behavior
·You understand safe tool execution, prompt injection, and multi-tenant data risk
·Solid backend skills in Python or TypeScript (async jobs, retries, state)

Benefits

·A founding seat. You own the agent harness and shape how the product behaves
·Competitive compensation + equity
·A direct line to the founder and early users, with no layers in between
·Remote anywhere in the US, ideally keeping hours that overlap with Pacific time
·The tools and models you need to do the job properly

How to apply

1Check the flexibility label above, work from home, matches where you plan to live and work.
2Tailor your CV to the role at Bolder Apps, mentioning your remote working experience and working hours (Async).
3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.

Found 15d ago. Last checked today. Always confirm the details on the original posting, salary and location can change after publication.

Listing sourced from Company boards.

Pay not stated · You'll be taken to the employer's careers page.