
Staff Software Engineer, Agentic Tools
Posted Oct 6

Posted Oct 6
This is a fully remote position, open to applicants in California.
• Design, construct, and manage production agentic workflows and platform harnesses.
• Engage in intent engineering by converting goals into specifications, rules, constraints, and acceptance criteria.
• Remain updated on AI tools and practices while promoting effective methodologies throughout Engineering.
• Take part in design discussions and execute the agreed-upon solutions.
• Develop observability and guardrails, which include tracing, regression detection, human-in-the-loop controls, safe rollouts, and operability.
• Oversee agent runtime components such as job isolation, scheduling, execution environments, secrets, access, and cloud production operations.
• Design and manage event-driven architectures utilizing queues, streams, webhooks, and asynchronous job fan-out.
• Sustain automated CI/CD paths with progressive delivery and rollback capabilities.
• Utilize and enhance the platform through dogfooding.
• Enhance AI-assisted engineering workflows for writing, testing, reviewing, debugging, and validating changes.
• Collaborate across Engineering to comprehend workflows, deliver tools, and promote adoption through playbooks, examples, demos, and enablement.
• Assess build-versus-buy decisions and keep track of the AI tooling ecosystem.
• Define and monitor adoption, quality, reliability, and satisfaction metrics.
• Partner on security and data access initiatives.
• Guide projects from design through implementation, rollout, and ongoing operability.
• Participate in standby, on-call, or off-hours responsibilities as necessary.
• Staff-level (or equivalent) professional software engineering experience in building and operating production distributed systems.
• Proficient in TypeScript and modern JavaScript.
• Experience with Node.js for deploying production services.
• Solid software engineering fundamentals related to design, testing, debugging, APIs/services, and code quality.
• Familiarity with automated pipelines, progressive delivery or safe rollout, monitoring, and rollback processes.
• Hands-on proficiency with modern LLM and agentic coding workflows in production or substantial internal platforms.
• Experience in developing backend services, integrations, automation, and internal tools.
• Professional background in agent orchestration, tool-calling systems, evaluation or guardrail techniques, and connecting agents to reliable backend systems.
• Knowledge of agent frameworks, orchestration layers, and integrating external tools and data sources into LLM-based systems.
• Experience with event-driven systems such as queues, streams, pub/sub, or webhooks.
• Proficient in observability with metrics, logs, and traces.
• Strong communication, documentation, and teaching skills.
• Good judgment regarding security, permissions, data access, and safe tool rollout.
• Ability to solve problems from first principles, make informed trade-offs, and work independently through ambiguity.
• Hands-on experience with Kubernetes in production (preferred).
• Familiarity with Terraform or similar infrastructure-as-code tools (preferred).
• Experience with Temporal or other workflow platforms (preferred).
• Deeper understanding of AWS/cloud-native operations (preferred).
• Health insurance
• Dental insurance
• Vision insurance
• Short-term disability insurance
• Life insurance
• Paid holidays
• Paid time off
• Fertility treatment benefit
• 401(k)
• Equity
• Cribl Corporate Bonus Program
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