Software Engineer, AI Platform

🕒 July 29

🏄 California – Remote

🏄 California – Remote

💵 $185k - $215k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

👻 Ghost score 14%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Aalyria

WebsiteLinkedInAll Job Openings

51 - 200 employees

📡 Telecommunications

🏢 Enterprise

☁️ SaaS

Telecommunications • Enterprise • SaaS

Aalyria is a company dedicated to creating, organizing, and managing the world's most advanced networks to enable ubiquitous connectivity at the speed of discovery. It utilizes atmospheric laser communications technology and a software platform originally developed by Alphabet. Aalyria's platform orchestrates networks across land, sea, air, space, and beyond. Key technological components include Tightbeam, a free space optics technology, and Spacetime, a software platform for network orchestration. Aalyria is backed by significant investors and has engaged in various high-profile projects, including working with NASA and developing 5G/6G networking platforms.

📋 Description

• Define the roadmap for internal AI chat and agent platform. • Deploy and extend an open-source frontend. • Build AI-native SWE workflows in GitLab. • Create sandboxes for AI development with safety policies. • Develop AI observability and cost tracking systems. • Own the AI gateway layer for model routing. • Collaborate with security/compliance director to ensure requirements are met. • Report periodically to leadership on friction points and opportunities.

🎯 Requirements

• Several years building, shipping, and operating production software. • Fluency in at least one of Python, Go, or TypeScript, plus Terraform. • Comfort with API design, testing, code review, and owning services in production. • Hands-on experience building LLM-powered systems: retrieval pipelines, tool use / MCP, agent orchestration. • Product sense for internal tooling: experience deploying, extending, and integrating open-source applications. • Developer-platform integration experience: working with Git-hosting APIs, webhooks, and CI/CD. • Cloud and Kubernetes engineering: build and operate infrastructure your systems run on. • Sandboxing and isolation literacy: understanding of how to safely run model-generated code.

🏖️ Benefits

• Health insurance • 401(k) • Dental insurance • Vision insurance • Life insurance • Paid time off • Competitive salary