AI Engineer

While consumer AI tools and coding assistants (like Claude Code) focus on unconstrained, single-user tasks, mission-critical enterprise operations require a fundamentally different architecture. Enterprise adoption cannot rely on free-roaming personal agents. It demands deterministic execution engines, robust operational guardrails, automated verification loops, and bulletproof process orchestration.

Enterprise software integrations are still painfully fragile: workflows break silently, APIs fail unpredictably, systems drift out of sync, and teams waste countless hours maintaining infrastructure never built for real-time operations at scale.

Our platform powers operations for supply chains, logistics, healthcare, financial operations, e-commerce, and enterprise sales. When our systems run, AI agents execute business processes deterministically: orders move, invoices sync, warehouses operate, contracts renew, revenue gets recognized, and critical workflows execute in real time.

What You Will Work On in Your First 90 Days

• Deterministic Execution Engines: Build production-grade AI agents designed for structured process execution rather than open-ended chat loops.
• Guardrails & Evaluation Suites: Implement programmatic guardrails, schema enforcement, human-in-the-loop fallback triggers, * You understand why enterprise AI requires strict guardrails, transactional guarantees, and deterministic process execution over unconstrained agents.
• You are a systems-minded full-stack engineer who loves tackling difficult backend, distributed queue, and non-deterministic agent problems.
• You think like a product owner, take end-to-end ownership, and thrive in fast-moving startup environments.

• You think building enterprise AI is just writing prompts or making simple calls to OpenAI/Anthropic APIs.
• You dislike operational complexity or debugging non-deterministic failure modes and state drift.
• You require long, slow timelines or highly structured corporate environments.