AI Agent Engineer — Early Career

CaelumenAI; San Francisco (CA); On-site; USD 65,000 - 95,000; Full time

Benefits offered by this job

Mentorship

Remote-friendly

OPT/H-1B sponsorship support

Job summary

Caelumen is seeking an AI Agent Engineer — Early Career to own small, real product slices across agent workflows, developer tools, APIs, and browser surfaces. You will review outputs from coding agents, trace failures to root causes, and carry changes from scoped problems to production evidence.

The role targets new grads or engineers with up to two years of experience. You will work in a remote-first environment with an option to be in San Francisco, and compensation is discussed in the

Qualifications

• 0–2 years of professional software engineering experience or strong project evidence.
• Proficiency in Python, JavaScript or TypeScript, plus Git and web/API fundamentals.
• One project scoped, built, tested, and debugged with clear evidence.
• Hands-on experience using or evaluating coding agents in a real workflow.

Responsibilities

• Build agent-native product and developer workflows across Python, JS/TS, 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.
• Create automated coverage with pytest, Playwright, integration tests, and agent evaluations.
• Investigate failures to root cause and ship durable fixes with regression coverage.
• Improve reliability, clarity, and safety of PERCO's human-controlled release workflows.

Skills

Python

JavaScript

TypeScript

Git

Web fundamentals

API fundamentals

Agent workflows

Tools

pytest

Playwright

CLI

CI/CD

Job description

# AI Agent Engineer — Early CareerBuild and verify the agent-native developer systems that help people and coding agents plan, implement, test, and ship real software together.Applications openLocation: Remote / San Francisco, CAWork model: Remote-firstEmployment: Full-timeCompensation: Salary range shared in processApplication window: Open until filledApply 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 workflows03 / The signal## What we’re looking forEvidence over pedigreeShow 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 ownership04 / 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 people05 / 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 sponsorshipApplication## Apply for this roleTell us what you have built and how you know it worked. A concise application with real evidence is enough.