Enterprise Agent Engineer

1 мес. назад

170k–225k USD / yearSeniorRemote

apiautomationobservability

Build and evolve scalable automation server and control plane for trustworthy agentic automation at enterprise scale.

We're building , the open source platform for cloud coding agents, helping engineering teams accelerate development, automate workflows, and bring AI-assisted coding into production environments.
As an Enterprise Agent Engineer, you'll build the system that makes agentic automation trustworthy at scale, including the automation server, the control plane around it (auditing, visibility, observability, governance), and high-quality agents and automations that run on it. You'll prove all of it on real engineering workflows, starting with our own, then harden what works into the product enterprises rely on. You'll join our Enterprise App team, partnering closely with other engineers and Product to develop automations and other agentic workflows.

Build and evolve the automation server, the system that runs agentic automations reliably and at scale
Build the control plane around it: auditing, visibility, observability, and governance so enterprises can see and trust what their agents are doing
Build reference agents and automations including high-quality, reusable examples (code review, CVE remediation, Issue-to-PR, test generation, broader SDLC workflows) that establish best practices and seed adoption
Design agent workflows end to end: tool and API integration (MCP, skills, plugins), context and memory management, and multi-step orchestration with human-in-the-loop where it matters
Instrument and evaluate agents by measuring reliability, cost, latency, and outcomes and harden them into something teams can depend on
Work across Product, the Enterprise team, and Forward-Deployed Engineering to turn what works into durable product capabilities

5+ years as a software engineer building production systems
1+ years of hands-on experience building AI agents or agentic automations
Experience building backend or platform services: APIs, long-running systems, and the data and observability layers around them
Strong proficiency in Python and modern developer workflows (CI/CD, Git-based collaboration, developer tooling)
Fluency with the agentic toolkit: LLMs, prompt and context design, tool/API integration, MCP, evaluation, and workflow orchestration
An outcomes-driven mindset; you measure whether agents actually save engineers time, and iterate relentlessly until they do
Bonus: experience with auditing, observability, or governance/control-plane systems; AI developer tools (, Claude Code, Copilot, Cursor); or significant open-source contribution

Competitive compensation: $170K–$225K base salary, plus bonus and equity
Fully remote with flexible hours (core hours 12–4pm ET / 4–8pm UTC)
Comprehensive U.S. health, vision, and dental insurance; unmetered PTO; 401(k)
Collaborate with world-class engineers, product builders, and AI researchers
Sit at the center of our push to automate the SDLC, building both the platform and the reference agents that define what's possible
A culture built on kindness, candor, autonomy, and learning

We're committed to building an inclusive, supportive environment where everyone can thrive. We celebrate diversity and do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other protected characteristic. If you're passionate about helping developers succeed and excited about the future of AI-powered tooling, we'd love to hear from you.