S
AI Engineer
Stacksync
5 hours ago
Full-time
On-site
San Francisco, California, United States
Stacksync
Real-time and two-way sync between CRMs and Databases
AI Engineer $100 - $160
0.07%
San Francisco, CA, US
Job type
Full-time
Role
Engineering, Backend
Experience
3+ years
Visa
Will sponsor
About the role 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
About the interview
Meet with the CTO
Real-world technical scenarios (not LeetCode)
System design and architecture discussions
Production/debugging-oriented conversations
About Stacksync Stacksync powers real-time and two-way data synchronization between CRMs and Databases. Engineers and RevOps teams use Stacksync to (1) build backbone CRM integrations, (2) build internal tools on real-time customer data and (3) ship customer metrics from their database/data warehouse to their business teams.
#J-18808-Ljbffr
AI Engineer $100 - $160
0.07%
San Francisco, CA, US
Job type
Full-time
Role
Engineering, Backend
Experience
3+ years
Visa
Will sponsor
About the role 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
About the interview
Meet with the CTO
Real-world technical scenarios (not LeetCode)
System design and architecture discussions
Production/debugging-oriented conversations
About Stacksync Stacksync powers real-time and two-way data synchronization between CRMs and Databases. Engineers and RevOps teams use Stacksync to (1) build backbone CRM integrations, (2) build internal tools on real-time customer data and (3) ship customer metrics from their database/data warehouse to their business teams.
#J-18808-Ljbffr