Member of Technical Staff - AI

Xcede; San Francisco (CA); On-site; USD 140,000 - 210,000; Full time

Job summary

Xcede, a San Francisco–based startup, is seeking a software engineer to join their growing technology team. You will own and ship customer-facing features, and help build AI agent orchestration systems that optimize factory scheduling and dispatch.

The role focuses on real-time data integration across legacy plant systems and applying advanced ML techniques to improve throughput and profitability. The successful candidate will be comfortable shipping to messy, real-world environments and have 2+

Qualifications

• 2+ years of experience as a software engineer.
• Experience with AI agents and orchestration is a plus.
• Comfortable shipping features to real-world environments.

Responsibilities

• Own and ship customer-facing features from ideation to deployment.
• Build and extend AI agent orchestration systems for scheduling and dispatch.
• Work with the unified data layer connecting legacy factory systems in real time.
• Apply context engineering, agent harnesses, small model training, and RL.
• Collaborate with customers and deploy features with visible impact on throughput.

Skills

AI systems

Agent orchestration

Real-time data layer

Job description

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