?? No C2C / No Third-Party Agencies
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Hiring on behalf of our client: Agentic Platform Engineer
Location: Remote - Must reside in U.S.
Compensation: $185,000 to $200,000 (DOE)
Terms: Full-Time, Direct Hire
U.S. Work Status: Public Trust and requires U.S. citizenship
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We're partnered with a client seeking an engineer to build the platform that powers AI-assisted software development across the organization.
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You'll design and own the agentic development harness that governs how AI agents operate, collaborate, execute work, and deliver software safely at scale. You'll build the frameworks, orchestration, evaluation systems, and guardrails that enable engineering teams to effectively leverage AI agents throughout the software development lifecycle.
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Why This Role?

You'll be the builder behind the AI development ecosystem, creating the framework that allows engineers to supervise and scale AI agents effectively. Success isn't measured by how many features you personally build, but by how effectively the platform enables engineering teams to build and ship high-quality software using AI.

This version aligns much more closely with what the client described: a builder of the harness/framework that manages agents and their behavior, not a product engineer simply using Claude Code.

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What You'll Own

• Design and maintain the shared agentic development harness used across engineering teams
• Build agent orchestration frameworks that coordinate task execution, testing, reviews, documentation, and handoffs
• Develop reusable skill libraries, workflows, prompts, hooks, subagents, and agent tooling
• Create evaluation frameworks to measure agent quality, reliability, accuracy, cost, and performance
• Build observability and tracing systems that provide visibility into agent activity, decisions, failures, and outcomes
• Establish security controls, governance policies, permissions, and compliance guardrails for agent operations
• Create context-management systems that provide agents with accurate repository, architecture, and domain knowledge
• Continuously improve the platform through experimentation, measurement, and developer feedback

Required Experience

• 5+ years of software engineering experience with additional expertise in platform engineering, developer productivity, DevOps, SRE, or infrastructure
• Strong programming skills in Python and/or TypeScript
• Hands-on experience with modern AI coding platforms such as Claude Code (Preferred), MCP, GitHub Copilot, Cursor, or similar agentic tooling
• Experience building developer platforms, internal tools, automation frameworks, or engineering productivity systems
• Strong understanding of CI/CD, Infrastructure as Code, cloud architecture, and observability
• Experience implementing security controls, access management, and governance within engineering environments
• Ability to evaluate, instrument, and improve AI-driven workflows through data and metrics

Highly Preferred

• Multi-agent orchestration
• MCP server development
• Agent evaluation frameworks
• AI observability and tracing
• OpenSpec or spec-driven development
• Kubernetes, Docker, Terraform
• FedRAMP, CJIS, SOC2, or highly regulated environments

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All qualified applicants will receive consideration for employment without regard to race, color, national origin, age, ancestry, religion, sex, sexual orientation, gender identity, gender expression, marital status, disability, medical condition, genetic information, pregnancy, or military or veteran status. We consider all qualified applicants, including those with criminal histories, in a manner consistent with state and local laws, including the California Fair Chance Act, City of Los Angeles' Fair Chance Initiative for Hiring Ordinance, Los Angeles County Fair Chance Ordinance, and San Francisco Fair Chance Ordinance.