Staff Engineer, Agentic Developer Platform

This is a fully remote position, open to applicants in United States.

📋 Description

• Design and take ownership of the company's foundational AI infrastructure, which encompasses the shared systems, integration patterns, and runtime environments that underpin all AI-powered initiatives.

• Make critical foundational decisions that will serve as a basis for others, including model selection and abstraction, orchestration patterns, data access layers, and deployment benchmarks.

• Architect the platform to enable teams to independently extend it for new use cases, minimizing the need for your involvement.

• Develop the operational layer necessary for teams to have confidence in their deployments, including logging, evaluations, cost tracking, latency monitoring, and feedback mechanisms.

• Design and construct the company's agent framework and skill library—reusable components that teams utilize for automating workflows, connecting systems, or expanding AI capabilities into novel areas.

• Establish the interfaces, contracts, and composition patterns that empower squads to confidently create new agents and skills without having to reinvent essential infrastructure.

• Ensure that the framework accommodates various complexities, ranging from simple single-step automations to intricate multi-agent workflows that span systems and teams.

• Assist internal teams in transforming 'we have an idea' into 'we have a working implementation' by providing the necessary technical scaffolding, guidance, and support.

• Create internal tools, documentation, and onboarding pathways to make the platform genuinely accessible for team members throughout the company.

• Develop abstractions that simplify AI development while still allowing for complex cases.

• Serve as a technical partner for teams adopting the platform, helping them overcome obstacles, apply patterns correctly, and avoid early pitfalls.

• Collaborate with Product to identify opportunities where AI capabilities can alleviate friction, speed up workflows, or reveal possibilities that internal teams have yet to explore.

• Maintain a feedback loop with internal customers to ensure the platform evolves according to actual work practices, rather than assumptions from the roadmap.

• Define how the company evaluates, adopts, and evolves AI capabilities responsibly, establishing standards for safety, reliability, and quality that are consistent across teams.

• Collaborate with engineering leadership to align AI infrastructure with broader architectural strategies and ensure long-term system health.

• Participate in organization-wide technical discussions, contributing a platform and infrastructure perspective to decisions that influence how AI initiatives are executed throughout the company.

⛳️ Requirements

• 8+ years of professional software engineering experience, with significant expertise in platform, infrastructure, or developer tooling.

• Experience in constructing shared systems that other engineers build upon, along with an intuitive understanding of what drives the success or stagnation of internal platforms.

• Hands-on experience with production AI systems (such as LLM integrations, tool-using agents, retrieval pipelines, or similar projects), coupled with a proven track record of enabling other builders to engage confidently with those systems.

• Strong instincts for API and abstraction design, adept at exposing the right surface area while concealing unnecessary complexity.

• Familiarity with MCP or comparable tool-use and integration patterns.

• Proven experience in scoping and delivering greenfield technical projects, including making early architectural decisions that endure over time.

• Collaborative and transparent by nature, with the capability to lead cross-functional alignment without needing formal authority.

• A clear understanding of the disparity between AI functioning in demonstrations and in production, along with experience in bridging that gap.

• Actively seeks out product and cross-functional context, motivated by the opportunity to advance work across teams, rather than solely within the engineering department.

• Nice to Have: Experience with multi-agent orchestration frameworks.

• Background in internal developer platforms, enablement engineering, or technical program leadership.

• Experience in defining and implementing engineering standards across a multi-team organization.

🏝️ Benefits

• 401K with an employer match

• Health, dental, vision, life insurance, and coverage for short-term and long-term disability.

• Flexible spending account for healthcare and dependent care.

• Wellness Reimbursement

• Work from Home Reimbursement

• Flexible vacation policy

• Parental leave program

• Company Issued Laptop