AI Agent Engineer — Early Career
CaelumenAI
United States
Information Technology
H-1B
Job posted on August 5, 2026
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Job Description:
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Agent Engineering
AI Agent Engineer — Early Career
Build and verify the agent-native developer systems that help people and coding agents plan, implement, test, and ship real software together.
Applications open
Location Remote / San Francisco, CA
Work model Remote-first
Employment Full-time
Compensation Salary range shared in process
Application window Open until filled
Apply for this role ↓
01 / The role
Build the system, then prove it works.
CaelumenAI is building the governed production layer for agent-native software. PERCO, our flagship product, turns agent output into a reviewable plan, a controlled release, and evidence of what happened. As an AI Agent Engineer — Early Career, you will own small, real product slices across agent workflows, developer tools, APIs, browser experiences, and deployment verification. You will work with coding agents as collaborators, review their output, trace failures to root causes, and carry changes from a clearly scoped problem through implementation and real-world evidence. This role is open to new graduates and other early-career engineers with roughly zero to two years of professional experience. Strong project evidence can come from coursework, open source, internships, personal products, or paid work. Compensation is discussed during the interview process. Applicants must have valid authorization to work in the United States when employment begins. We welcome candidates working under valid OPT and support eligible H-1B sponsorship.
02 / Your work
What you’ll do
03 / The signal
What we’re looking for
Evidence over pedigree
Show us something you scoped, built, tested, and debugged—and tell us what the evidence changed.
04 / Bonus signal
Useful, not required
05 / What we offer
What you get
Application
Apply for this role
Tell us what you have built and how you know it worked. A concise application with real evidence is enough.
Company website
Full name Email
Phone Optional Location Optional
LinkedIn Optional Portfolio or GitHub Optional What should we know? Optional Upload resume PDF, DOC, DOCX, or TXT Upload cover letter OptionalPDF, DOC, DOCX, or TXT
Anti-bot verification protects this form.
APPLY NOW
Agent Engineering
AI Agent Engineer — Early Career
Build and verify the agent-native developer systems that help people and coding agents plan, implement, test, and ship real software together.
Applications open
Location Remote / San Francisco, CA
Work model Remote-first
Employment Full-time
Compensation Salary range shared in process
Application window Open until filled
Apply for this role ↓
01 / The role
Build the system, then prove it works.
CaelumenAI is building the governed production layer for agent-native software. PERCO, our flagship product, turns agent output into a reviewable plan, a controlled release, and evidence of what happened. As an AI Agent Engineer — Early Career, you will own small, real product slices across agent workflows, developer tools, APIs, browser experiences, and deployment verification. You will work with coding agents as collaborators, review their output, trace failures to root causes, and carry changes from a clearly scoped problem through implementation and real-world evidence. This role is open to new graduates and other early-career engineers with roughly zero to two years of professional experience. Strong project evidence can come from coursework, open source, internships, personal products, or paid work. Compensation is discussed during the interview process. Applicants must have valid authorization to work in the United States when employment begins. We welcome candidates working under valid OPT and support eligible H-1B sponsorship.
02 / Your work
What you’ll do
- Build agent-native product and developer workflows across Python, JavaScript or TypeScript, APIs, CLI, MCP, and browser surfaces
- Turn product problems into small end-to-end implementations with clear acceptance evidence
- Use coding agents effectively by preparing context, reviewing output, and retaining human ownership of consequential decisions
- Create automated coverage with pytest, Playwright, integration tests, and agent evaluations
- Investigate failures to root cause and ship durable fixes with regression coverage
- Improve the reliability, clarity, and safety of PERCO's human-controlled release workflows
03 / The signal
What we’re looking for
Evidence over pedigree
Show us something you scoped, built, tested, and debugged—and tell us what the evidence changed.
- Approximately zero to two years of professional software engineering experience, or equivalent evidence through substantial projects
- Working proficiency in Python, JavaScript, or TypeScript, plus Git and web or API fundamentals
- One project you scoped, built, tested, and debugged that you can explain in detail
- Hands-on experience using or evaluating coding agents in a real development workflow
- Comfort reading logs, testing real user journeys, and iterating until a system works end to end
- Clear written communication, careful judgment, and a bias toward ownership
04 / Bonus signal
Useful, not required
- Experience with MCP, tool schemas, agent frameworks, or agent evaluation
- Experience building CLIs, developer tools, or browser-based products
- Familiarity with cloud services, containers, CI/CD, or infrastructure as code
- Open-source contributions or a deployed product used by other people
05 / What we offer
What you get
- Direct mentorship on real agent-native product work
- High ownership over scoped, end-to-end engineering projects
- Flexible remote collaboration with an option to work from San Francisco
- Work across the complete loop from agent interaction through verified production delivery
- Support for candidates working under valid OPT and eligible H-1B sponsorship
Application
Apply for this role
Tell us what you have built and how you know it worked. A concise application with real evidence is enough.
Company website
Full name Email
Phone Optional Location Optional
LinkedIn Optional Portfolio or GitHub Optional What should we know? Optional Upload resume PDF, DOC, DOCX, or TXT Upload cover letter OptionalPDF, DOC, DOCX, or TXT
Anti-bot verification protects this form.