Startups · AI

Software Engineer, AI/ML, Technical Delivery, Google Public Sector

Google · United States · On-site

← All jobs
About Google

Learn more about Google. Explore our innovative AI products and services, and how we. Backed by Kleiner Perkins.

About the role

As an AI Engineering Software Engineer, you will design, build, and deploy cutting-edge Google AI solutions tailored for national security, public sector, and high-assurance enterprise missions. You will specialize in developing autonomous agentic systems, building custom test and evaluation harnesses, and implementing high-impact cybersecurity capabilities within air-gapped, sovereign, and disconnected cloud environments. Found on 1752vc Careers, the job board for startup and VC roles.

What they're looking for

  • Bachelor’s degree or equivalent practical experience
  • 2 years of experience with software engineering in Python, Go, or C++
  • Experience with LLM orchestration, embeddings, vector search, and agent frameworks
  • Experience with systems architecture
  • Must possess an active Top Secret/SCI security clearance with current polygraph
More about this role
  • Design and deploy autonomous agent frameworks using RAG, multi-agent coordination, and custom evaluation harnesses to monitor model accuracy and drift.
  • Productionize high-throughput AI integrations for threat intelligence, incident response, and zero-trust cybersecurity workflows.
  • Engineer air-gapped and sovereign cloud AI deployments adhering to strict defense and security compliance frameworks (e.g., FedRAMP High, IL5/6).
  • Optimize model execution, local caching, and containerized runtimes for restricted hardware and bare-metal environments.
  • Embed with technical stakeholders to translate mission needs into modular AI solutions and mentor teams on system sustainment.
  • Bachelor’s degree or equivalent practical experience.
  • 2 years of experience with software engineering in Python, Go, or C++.
  • Experience with LLM orchestration, embeddings, vector search, and agent frameworks.
  • Experience working in a cybersecurity domain (e.g., security engineering, threat detection and response, vulnerability research, or cyber operations) and with containerization and orchestration technologies (e.g., Docker, Kubernetes)
  • Experience with systems architecture.
  • Must possess an...

Read the full posting on Google's site ↗

Build your edge while you search

Free tools for founders and investors, plus VC Unfiltered, our take on startups, venture and the people who build them.