AI Engineer

Stacksync; San Francisco (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

Stacksync is seeking a systems-minded backend engineer to build a deterministic AI execution layer for enterprise operations. You will own core components, ensure robust guardrails, and integrate with real-time workflows at scale.

The role focuses on distributed backends, failure handling, and end-to-end product ownership in a fast-moving startup environment.

Qualifications

• Experience building enterprise-grade AI execution engines with deterministic behavior.
• Strong background in backend systems, distributed queues, and failure handling.
• Ability to own features end-to-end in a fast-paced startup.

Responsibilities

• Develop deterministic AI agents and guardrails for structured processes.
• Build evaluation suites and human-in-the-loop fallbacks.

Skills

Distributed systems

Backend engineering

System design

Tools

Python

React

PostgreSQL

Job description

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

• What excites you about building guardrailed, process-executing AI execution engines over open-ended chat assistants? (2–3 sentences max)
• 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.