AI Software Engineer

Glover Labs; Seattle (WA); On-site; USD 140,000 - 200,000; Full time

Job summary

Glover Labs is seeking an AI Software Engineer in Seattle, WA to help build the core of our platform. You will design back-end systems that orchestrate multi-agent workflows across large enterprise codebases and define APIs and data models for our Living Spec platform.

You'll work with AI-powered tooling, contribute to architecture decisions, and collaborate with founders and early customers to shape what we ship, balancing ambition with pragmatism.

Qualifications

• 6+ years of professional software engineering with ownership of complex systems.
• Experience building on top of LLM APIs and AI-powered tooling.
• Familiarity with enterprise integration patterns for legacy infra.
• Background in regulated industries is a plus but not required.
• Excellent communication with customers and stakeholders.

Responsibilities

• Design and build backend systems that orchestrate multi-agent workflows across large enterprise codebases.
• Develop APIs and integration surfaces connecting the platform to customer systems (source control, CI/CD, ticketing, legacy datastores).
• Contribute to architecture decisions, API and data model definitions for the core platform.
• Collaborate with design partners and customers to understand requirements and iterate quickly.
• Set engineering standards and help shape the roadmap as the team grows.

Skills

6+ years of software engineering

LLM APIs experience

Enterprise integration patterns

Experience with regulated industries

Strong communication skills

Tools

Source control systems

CI/CD pipelines

Legacy datastores

Job description

AI Software Engineer

Glover Labs Seattle, Washington, United States

About this position

About Glover Labs

Glover Labs is building the infrastructure layer for enterprise legacy modernization. We work with large enterprises in regulated industries — insurance, banking, and healthcare — helping them systematically understand, document, and evolve their most critical systems. Ou r platform combines AI-powered analysis with rigorous auditability and compliance controls, giving enterprises the confidence to modernize at scale.

We're a small, high-conviction team working on hard problems that matter. If you've ever wanted to build AI applications and infrastructure that touches genuinely complex systems at scale — and have your work deployed inside important, global companies — this is the role.

The Role

We're looking for a Senior Software Engineer to help build the core of our platform. You'll work across our agent coordination layer, backend infrastructure, and integration surfaces — designing the systems that orchestrate AI agents, manage living documentation, and connect to enterprise codebases and workflows.

This is a high-ownership role for someone who thinks in terms of what AI-native systems make possible, not just what traditional software can do. You'll contribute to architecture decisions, define APIs and data models, and work closely with our founders and early customers to shape what we build. The best candidates will be excited to leverage AI as a first-class building block — using agents, LLMs, and automated reasoning where others would default to hand-rolled logic — while staying pragmatic about what to ship.

What You'll Do

• Design and build backend systems that orchestrate multi-agent workflows across large enterprise codebases
• Develop APIs and integration surfaces that connect Glover's platform to customer systems (source control, CI/CD, ticketing, legacy datastores)
• Contribute to the architecture of our core platform, including our agent coordination layer and Living Spec data model
• Collaborate directly with design partners and customers to understand requirements and iterate quickly
• Set engineering standards and help define how we build as the team grows

What We're Looking For

• 6+ years of professional software engineering experience, with a track record of owning and delivering complex systems
• Experience working with or building on top of LLM APIs and AI-powered tooling
• Familiarity with enterprise integration patterns and the realities of working with legacy infrastructure
• Experience in regulated industries (financial services, insurance, healthcare) is a plus, but not required
• Comfort with ambiguity — we're early, and you'll help define the roadmap as much as execute against it
• Strong communication skills; you'll interface with customers and stakeholders, not just internal teammates