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Artificial Intelligence Engineer

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Onsite

Artificial Intelligence Engineer

Xcede

Artificial Intelligence Engineer

Skills

PythonPostgreSQLMachine LearningAIAWS

2 months ago

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Important information


Contract type:

Permanent

Salary:

$200,000 – $300,000 / year

Location:

San Francisco, CA, USA

Work mode:

Onsite

Published on:

9 August 2026

What they need


A top SF-based startup is looking for a strong software engineer to join their growing technology team on a full-time basis. This company builds autonomous AI systems that operate factories. The company connects fragmented systems inside manufacturing facilities into a unified data layer, then deploys AI agents that optimize decisions across entire operations for profit.

They are looking for a Member of Technical Staff with 2+ years of experience to join an early-stage team. You should be a high-ownership, independent technical builder who is comfortable shipping to messy, real-world environments — whether your background is in systems programming, agent orchestration, quantitative work, or founding your own company.

What will you be doing?

  • Owning and shipping entire customer-facing features from ideation through deployment — e.g., building collaborative AI-assisted chat interfaces for factory operators
  • Building and extending AI agent orchestration systems that optimize factory scheduling, dispatch work to operators, and drive indirect labor costs toward zero
  • Working with the platform's unified data layer that connects legacy factory systems (ERPs, MES, PLCs, spreadsheets) into real-time operational intelligence
  • Applying context engineering, agent harnesses, small model training, and RL techniques to deploy AI that makes high-leverage decisions in production environments
  • Collaborating directly with customers and deploying features that have immediate, visible impact on factory throughput and profitability

Tech stack

Python, C, AI/ML, LLMs, Agent Orchestration, Reinforcement Learning, Context Engineering, PostgreSQL, Data Pipelines, Cloud Infrastructure (AWS)

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