Backend Software Engineer - GenAI

What you'll do

• Design, build, and deploy GenAI systems, including RAG architectures, vector databases, LLM integrations, and tool-call frameworks.
• Develop evaluation and testing harnesses for LLM output quality and production regressions; troubleshoot production issues.
• Integrate AI capabilities into TyrOS and collaborate with engineering, product, and military stakeholders.

What they ask for

• 6+ years of software engineering experience with a strong backend foundation in distributed systems, APIs, and production-grade software.
• Hands-on experience building GenAI systems, including vector databases, LLM integration, RAG architectures, and LLM evaluation harnesses.
• Familiarity with tool routing, tool-call validation, and common LLM failure modes.
• Understanding of the underlying science of the systems built; background at an AI-native company or a clear transition from backend engineering into AI specialization.

Nice to have

• Experience with fine-tuning or model evaluation workflows, embedding pipelines, or inference optimization.
• Experience in defense, aerospace, or complex operational domains, or deploying to cloud (AWS, Kubernetes) and edge infrastructure.

Pay

$190K – $230K (base salary)

Tools

RAG, vector databases, LLM, AWS, Kubernetes

AI focus

Build and evaluate production GenAI and agentic systems for military sustainment workflows, including RAG, LLM integrations, tool calling, and model output testing.