Agent Platform Engineer
Company websitecoframe.com (Coframe, opens in new tab)
Base salary $180K to $300K
Employer-published annual base salary, USD. Advertised base range in California
You apply on the employer's own site. Six Figure Work does not handle applications.
- 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 listingAgent Platform Engineer$180K to $300K
Integrations Engineer$180K to $300K
Applied Scientist, Experimentation$180K to $300K
Backend System Architect$180K to $300K
Agent Engineer$180K to $300K
Product Engineer$180K to $300K
GTM Engineer$190K to $230K
Chart as a table
| Role | Published 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 |
Observed changes
- Began meeting the published-salary criteria
- 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.
