helmguard - Founding Engineer, Agent Systems
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Requirements
• Experience with backend engineering in TypeScript or comparable, with 1–2+ years shipping production LLM features • Experience with agent frameworks, tool calling, and multi-step orchestration • Production evals chops: dataset curation, LLM-as-judge failure modes, regression testing under model swaps • Strong systems thinking: async, queues, idempotency • Comfort being the named owner of AI quality, including saying no when needed • Anthropic, OpenAI, or open-weight APIs in production at scale • Prompt-injection or agent-security work • Background in compliance, audit, or any domain where correctness is fuzzy and stakes are high • CULTURE AND VALUES • We value a diversity of perspectives and experiences. We also hold a small set of core beliefs that reflect how we operate, and share them transparently with candidates so the fit is clear from the outset. • Put Customers First. Our customers buy outcomes from us, not features. We judge every decision by whether it delivers on that promise. • Take Ownership. Founding-stage means problems don't come pre-scoped. You see something that needs doing, scope it, ship it, own the outcome. We expect this from everyone, and provide you the backing to execute on it.
Responsibilities
• Agent scaffolding: tool use, context management, sandboxing, prompt-injection defence • Evals for fuzzy, high-stakes outputs: assessments, policy interpretation, control mapping • Reliability infrastructure: retries, fallbacks, circuit breakers, prompt versioning • The internal standard for what "good enough to ship" means for AI features here
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