Stacksync Verified
Data Integration, SaaS, ETL, MarTech, SalesTech
AI Engineer
San Francisco, CAOnsiteFull Time$100–$160 /hrPosted 10 days agoHidden Gem · YC Startup
Required skills
- AI execution layer
- deterministic execution
- enterprise operations
- structured process execution
- programmatic guardrails
- schema enforcement
- human-in-the-loop
- transactional guarantees
- distributed queue
- non-deterministic agent problems
Nice to have
- React
Role summary
This role is for an AI Engineer focused on building the deterministic AI execution layer for enterprise operations. The platform powers critical business processes in supply chains, logistics, healthcare, financial operations, e-commerce, and enterprise sales by ensuring AI agents execute business processes deterministically with robust guardrails and verification loops. The engineer will work on production-grade AI agents and guardrail/evaluation suites, tackling complex backend and distributed queue problems. This is a remote, full-time position in a fast-paced startup environment.
### Build the deterministic AI execution layer for enterprise operations
\> **Our Thesis:** 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
### This Role IS for You If
\- 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.
### This Role IS NOT for You If
\- 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.
### Tech Stack & Tooling
**Languages & Frameworks:** Python, React, Postgres
### ⚠️ Apply By Answering ⚠️
1\. What excites you about building guardrailed, process-executing AI execution engines over open-ended chat assistants? (2–3 sentences max)
2\. What is the most technically complex agent workflow, guardrail system, or real-time distributed pipeline you've built? Highlight how you handled state, failure modes, or verification loops.
\> **Our Thesis:** 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
### This Role IS for You If
\- 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.
### This Role IS NOT for You If
\- 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.
### Tech Stack & Tooling
**Languages & Frameworks:** Python, React, Postgres
### ⚠️ Apply By Answering ⚠️
1\. What excites you about building guardrailed, process-executing AI execution engines over open-ended chat assistants? (2–3 sentences max)
2\. What is the most technically complex agent workflow, guardrail system, or real-time distributed pipeline you've built? Highlight how you handled state, failure modes, or verification loops.
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