Six Figure Work

Agent Platform Engineer

Coframe

Company websitecoframe.com (Coframe, opens in new tab)

Base salary $180K  to $300K

Employer-published annual base salary, USD. Advertised base range in California

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  • LocationCalifornia
  • WorkplaceOn-site
  • Status at last checkSource accepting applications when checked
  • Last checked (3 min ago) · observed since

About this job

About Coframe

At Coframe, we are building a future where user and agent interfaces can adapt, evolve, and personalize themselves. We are generating revenue, growing rapidly, and trusted by companies you definitely know.

Coframe is a primarily in-person company based in San Francisco, well-capitalized with backing from Khosla Ventures, Nat Friedman, the founder of Android, and others. Our team is small and talent-dense, consisting of competitive programmers, former founders (including our founder who previously co-founded a unicorn), and AI researchers from top institutions who have created some of the most popular open-source code generation projects.

About the role:

As an Agent Platform Engineer, you’ll build the infrastructure, tooling, and development workflows that allow AI agents to operate safely, reliably, and at scale. Your work will support agents that generate customer interfaces, agents that contribute to Coframe’s own codebase, and automate workflows across engineering, go-to-market, and operations.

Every improvement to the agent platform makes our product more capable, accelerates Coframe’s engineering velocity, and expands what teams across the company can automate.

You’re a great fit if you have:

  • A strong platform or infrastructure engineering background

  • Strong software engineering fundamentals and experience designing scalable architectures

  • Experience building and operating distributed systems, developer platforms, internal tooling, or compute infrastructure

  • Experience with cloud infrastructure, serverless architectures, CI/CD, end-to-end testing, and production deployment strategies

  • Experience deploying, scaling, profiling, and operating AI agents or LLM-based systems in production

  • Familiarity with infrastructure for long-running execution, durable workers, isolated environments, remote browsers, and stateful workflows

  • Strong judgment across security, reliability, performance, cost, and iteration speed

  • A passion for engineering productivity and automating complex workflows

  • Comfort working across infrastructure, backend systems, AI, and developer experience

  • High ownership and the ability to operate effectively across ambiguous, fast-changing technical domains

  • Experience building infrastructure for AI agents is a major plus

What you’ll do:

  • Build infrastructure for long-running agent execution, memory, planning, and stop-and-resume workflows

  • Create platforms that allow AI agents to autonomously implement features, execute tests in isolated environments, analyze execution traces, and improve their own outputs

  • Build secure, isolated execution environments that allow agents to operate safely and reliably

  • Develop tracing, observability, evaluation, and monitoring infrastructure for autonomous AI agents

  • Design infrastructure for durable workers, serverless compute, remote browsers, and other agent execution systems

  • Build developer tooling that enables engineers to collaborate effectively with AI agents throughout the software development lifecycle

  • Create internal AI platforms that allow non-engineering teams to build custom agents and automate their own workflows

  • Improve CI/CD, testing, deployment, and developer environments

  • Strengthen the security, reliability, and operational readiness of agent systems running in production

  • Evaluate and implement new tooling, storage, compute, and orchestration systems

  • Resolve production incidents with both immediate fixes and long-term improvements

  • Create strong out-of-the-box platform defaults while supporting advanced configurations and use cases

Benefits:

  • Flexible (Unlimited) Paid Time Off

  • Medical, Dental, and Vision benefits for you and your family

  • Life Insurance and Disability Benefits

  • 401k Plan with Coframe match

  • Meals covered in-office

  • Gym membership

Why Coframe

Elite Team: Our founder is a serial entrepreneur who previously co-founded a $2B+ unicorn with Tom Brady and guest lectures AI at Stanford. Our team includes researchers from top institutions who created some of the world's most popular open-source code generation projects.

OpenAI: We’re the only marketing technology company officially partnered with OpenAI. Our engineers and researchers work directly with their team to co-train a model specifically for our use case, which is a differentiator, and a testament to the technical caliber of our team.

Inbound Leads: We’re currently growing at 120% QoQ with a consistent flood of inbound demand. We’re looking for the right saleshumans to capture this demand and market opportunity.

Top VCs: We’re backed by tier-1 investors including Khosla Ventures, Nat Friedman (former GitHub CEO), and Rich Miner (Android co-founder). Joining now means getting a seat on the rocket ship before our Series A: a once-in-a-lifetime opportunity to join in the early innings.

Already Crushing It: For our first product, we built proprietary generative AI technology that enables our Agents to autonomously design, code, debug, and deploy A/B tests, Landing Pages, and Personalization experiences. We effectively 10x testing velocity, replacing agencies, legacy tools, and the need to pull in-house designers and engineers for testing. In the last 6 months, we have already driven $221.4M in incremental revenue for our customers like Dropbox, Replit, and Intuit.

“You guys are insane.” - OpenAI team

“Coframe makes you feel like you have a team of 100 people.” - Replit team

Coframe is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected by applicable federal, state, or local law.

Source: Coframe on Ashby · View original posting (opens in new tab)

Pay in context

This role's base floor ($180,000) is above 50% of the 4,196 Software Engineering roles in California listed on this site; 172 others list the same floor. Their median floor is $176,500; the middle half runs from $149,200 to $204,000.

Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 6, 2026.

This range next to 6 other live Coframe roles with the nearest advertised base floor
Chart as a table
This range next to 6 other live Coframe roles with the nearest advertised base floor
RolePublished base
Agent Platform Engineer (this listing)$180K - $300K
Integrations Engineer$180K - $300K
Applied Scientist, Experimentation$180K - $300K
Backend System Architect$180K - $300K
Agent Engineer$180K - $300K
Product Engineer$180K - $300K
GTM Engineer$190K - $230K

Same $100K to $400K scale as every card. All Coframe roles · How to read the bar

Observed changes

  1. Began meeting the published-salary criteria
  2. First observed on the employer's board
Observed since
Employer-stated posting date
2026-04-20
Where this pay comes from

Location as the employer wrote it: SF Bay Area

USD 180,000 – 300,000 · 1 YEAR · Salary

Method
Structured pay field published by the employer
Checked
Rule set
us-base-v2

The employer's job board publishes this pay as a dedicated data field. We read the field directly; no interpretation was needed.

What we verified

  • The pay figures come from the employer's own listing, quoted exactly above.
  • The pay is an annual base salary in US dollars with a minimum of at least $100,000.
  • The role was publicly listed on the employer's job board when last checked.

We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.