Aalyria is a leading technology company that supplies laser communications technology and temporospatial software-defined networking platforms to the aerospace industry. Backed by Battery.
About the role
Aalyria is hiring a software engineer to build the AI layer of our engineering organization. This is fundamentally a building role where you will design, ship, and operate internal AI products and platform services, such as chat and agent interfaces, retrieval over our code and docs, AI-integrated developer workflows, sandboxed execution environments, on top of our existing cloud infrastructure (GCP, GKE, Vertex AI, GitLab).
What they're looking for
- Hands-on experience building LLM-powered systems: retrieval pipelines, tool use / MCP, agent orchestration, prompt and context management, and evaluating whether any of it actually works
- Developer-platform integration experience: working with Git-hosting APIs, webhooks, and CI/CD to embed AI into the workflows engineers already live in
- Sandboxing and isolation literacy: understanding of how to safely run model-generated code and constrain agent access (containers, network policy, least-privilege credentials)
- Clear written communication: Specifically for technical and executive audiences, including candid assessments of what is not working
- High autonomy: you will define your own roadmap from a clear mandate and validate it directly with the teams you serve
- U.S. citizen or national
More about this role
Aalyria is hiring a software engineer to build the AI layer of our engineering organization. This is fundamentally a building role where you will design, ship, and operate internal AI products and platform services, such as chat and agent interfaces, retrieval over our code and docs, AI-integrated developer workflows, sandboxed execution environments, on top of our existing cloud infrastructure (GCP, GKE, Vertex AI, GitLab).
We operate in a regulated environment (CMMC, DoD Impact Levels, FedRAMP), and that shapes the work. Your job is to work with our security and compliance director, ask the right questions, extract the real constraints, and then engineer systems that deliver the maximum utility to our engineers while staying inside the boundary.
The integrations you build need care and feeding: they must keep working, keep improving, and remain auditable. You will own them end to end.
- Internal AI chat and agent platform: deploy and extend an open-source frontend (e.g., LibreChat, Open WebUI) backed by our existing Vertex AI models and any future inference infrastructure, with SSO, access policy, and the integrations that make it actually useful, RAG and MCP servers tied to our...
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