Software Engineer, AI Platform

Aalyria

Software Engineer working on AI products and platform services for aerospace technology. Responsible for building, operating, and improving AI systems and integrations within engineering workflows.

Posted 7/29/2026full-timeRemote • California • 🇺🇸 United StatesMid-LevelSenior💰 $185,000 - $215,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and operating production software with a focus on AI-native workflows, cloud infrastructure, and open-source application integration. Proficient in API design and development, with a strong understanding of safety policies and observability in AI systems.

Highest-signal resume keywords

Python ProgrammingGo ProgrammingTypeScript ProgrammingTerraformCloud Engineering

ATS Keywords

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Hard Skills

Production Software DevelopmentAPI DesignCode ReviewLLM-Powered SystemsDeveloper-Platform Integration

Soft Skills

CollaborationCommunication

Tools & Technologies

GitLabKubernetesOpen-Source Applications

Industry Keywords

AI DevelopmentModel RoutingSafety PoliciesObservabilityCost Tracking

Tech Stack

Tools & technologies

CloudGoKubernetesPythonTerraformTypeScript

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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