Staff Software Engineer, Agentic Tools

Responsibilities

• Design, build, and operate production agentic workflows and platform harnesses with orchestration, tool integrations, shared context, and extension points.
• Develop intent-engineering specifications, rules, constraints, and acceptance criteria that AI systems can execute reliably.
• Build observability, regression detection, human-in-the-loop controls, guardrails, safe rollout, and operational capabilities for agentic systems.
• Own agent-runtime capabilities including job isolation, scheduling, execution environments, secrets, access controls, and cloud operations.
• Design event-driven architectures using queues, streams, webhooks, and asynchronous job fan-out where appropriate.
• Improve AI-assisted software delivery across writing, testing, reviewing, debugging, and validating changes in repositories and pipelines.
• Evaluate build-versus-buy decisions and stay current with models, agent frameworks, MCP-style protocols, and AI tooling.
• Partner across Engineering to drive adoption through playbooks, examples, demonstrations, and enablement.
• Define and track adoption, quality, reliability, and satisfaction metrics and use feedback to guide investment.
• Take projects from design through implementation, rollout, and day-two operability, including potential stand-by, on-call, or off-hours support.

Requirements

• Staff-level or equivalent professional software engineering experience building and operating production distributed systems.
• Strong TypeScript, modern JavaScript, and Node.js experience shipping production services.
• Strong software engineering fundamentals, including design, testing, debugging, APIs, services, and code quality.
• Experience with automated pipelines, progressive delivery or safe rollout, monitoring, rollback, and frequent reversible production changes.
• Hands-on experience with modern LLM and agentic coding workflows in production or serious internal platforms.
• Experience building backend services, integrations, automation, and internal tools.
• Professional experience with agent orchestration, tool-calling systems, evaluation or guardrail techniques, and reliable backend integrations.
• Familiarity with agent frameworks, orchestration layers, and integrating external tools and data sources into LLM-based systems; MCP or equivalent experience is a plus.
• Production experience with event-driven systems such as queues, streams, pub/sub, webhooks, or similar asynchronous patterns.
• Fluency with metrics, logs, traces, and operating production systems.
• Clear communication, documentation, teaching, adoption-driving, independent problem-solving, and sound judgment around security, permissions, data access, and rollout safety.
• Hands-on Kubernetes experience, Terraform or similar infrastructure-as-code experience, Temporal or comparable workflow-platform experience, and deeper AWS/cloud-native operations fluency are preferred.

Benefits

• Remote-first work arrangement.
• Base salary range of $210,000—$245,000 USD.
• Health, dental, vision, short-term disability, and life insurance.
• Paid holidays and paid time off.
• Fertility treatment benefit.
• 401(k) and equity.
• Corporate Bonus Program eligibility for non-sales roles.