Staff Engineer

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

📋 Description

• Enhance agent functionalities by integrating investigation tools and security data sources.

• Optimize the way agents manage context, recall evidence, and weigh cost against latency.

• Develop evaluations to assess whether agents yield accurate and well-sourced findings.

• Leverage evaluation outcomes to inform adjustments in models, prompts, and tools.

• Adapt service boundaries and failure management as capabilities advance.

• Elevate engineering standards for API governance, testing, and observability.

• Collaborate with product management to translate case requirements into technical specifications.

• Design and implement solutions as the platform evolves.

• Provide technical guidance through design reviews, code assessments, and architectural decisions.

⛳️ Requirements

• Designed and deployed distributed systems that remain operational for multiple years.

• Typically accumulated experience in a Staff, Principal, or Lead capacity.

• Transitioned AI agents from prototypes to production across various model providers.

• Developed tool-calling agent loops.

• Created evaluation harnesses that detect regressions prior to release.

• Established guardrails to prevent hallucinations.

• Regularly utilize coding agents and review and validate their outputs.

• Possess deep expertise in Go or Python, with strong proficiency in the other, including runtime, concurrency models, and memory management.

• Experience with relational record systems, columnar analytical stores, and vector search technologies.

• Familiarity with zero-downtime schema migrations.

• Designed schema-first, contract-driven APIs with auto-generated clients and built-in validation.

• Developed streaming APIs for real-time updates.

• Created long-running workflows using durable execution and event streaming methodologies.

• Consider idempotency, retries, and recovery from partial failures as essential design elements.

• Experience in building event-driven ingestion pipelines that transfer substantial amounts of structured data from object storage to analytical systems.

• Nice to have: experience with a major cloud service provider, infrastructure as code, and container orchestration.

• Nice to have: designs that ensure the isolation of each customer’s or case’s data.

• Nice to have: experience in developing security products or familiarity with digital forensics, incident response, or security telemetry.

🏝️ Benefits

• Bonus offered.

• Remote work arrangement.