Enterprise Agent Engineer

OpenHands

Enterprise Agent Engineer building reliable cloud coding automation systems at OpenHands. Collaborating with engineers and Product to develop high-quality agent workflows and automations.

Posted 7/22/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSenior💰 $170,000 - $225,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and evolving automation servers and agentic automations, with a strong focus on backend services, API integration, and observability. Proficient in Python and modern developer workflows, with a commitment to measuring outcomes and iterating for efficiency.

Highest-signal resume keywords

Python ProficiencyAI Agent DevelopmentAPI IntegrationObservability SystemsCI/CD Workflows

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringProduction SystemsBackend ServicesData LayersAgent WorkflowsMulti-Step OrchestrationContext ManagementReliability MeasurementCVE RemediationTest Generation

Soft Skills

Outcomes-Driven MindsetIterative Improvement

Tools & Technologies

Agentic ToolkitMCPOpenHandsClaude CodeCopilotCursor

Industry Keywords

Automation ServerGovernanceAuditingVisibilityObservability

Tech Stack

Tools & technologies

PythonSDLC

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

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 (OpenHands, Claude Code, Copilot, Cursor); or significant open-source contribution

Benefits

Comp & perks

Comprehensive U.S. health, vision, and dental insurance
Unmetered PTO
401(k)
Fully remote with flexible hours (core hours 12–4pm ET / 4–8pm UTC)