GenAI Software Engineer — Rapid Innovation (Public Sector)

Google LLC

Reston (VA)

On-site

USD 174,000 - 252,000

Full time

10 days ago

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Job summary

Google Public Sector seeks a Software Engineer for the Rapid Innovation team in Reston to develop rapid prototype generative AI applications for government customers. You will work across AI, data and infrastructure, collaborating with Product to shape offerings, and demonstrate capabilities to customers.

US citizenship is required and in-person interviews are common. This role supports Google Cloud AI initiatives and shares lessons with customers and internal teams, with opportunities to

Qualifications

  • Bachelor's degree in Engineering, Computer Science, or related field.
  • 5 years of software development experience in Python or similar.
  • Experience architecting AI systems on cloud platforms (GCP).
  • Experience building data pipelines using vector databases and RAG architectures.
  • Experience leading technical discovery sessions with customers.
  • Active Top Secret/SCI clearance with current polygraph.
  • Preferred: Master’s or PhD in AI/CS.
  • Experience implementing multi-agent systems using LangGraph, CrewAI, ADK; knowledge of LLM-native metrics and state management.

Responsibilities

  • Design and build genAI-driven solutions for government customers.
  • Collaborate with Product teams to steer offerings and architecture.
  • Demonstrate and validate AI capabilities through customer collaboration.
  • Lead technical discovery sessions and translate customer needs into implementable designs.

Skills

Python
AI system design
GCP Architecture
Vector DBs
RAG architectures
Customer Discovery
Security Clearance
Leadership

Education

Bachelor's degree in Engineering/CS
Master's or PhD preferred

Tools

LangGraph
CrewAI
ADK

Job description

Google Public Sector seeks a Software Engineer for the Rapid Innovation team in Reston to develop rapid prototype generative AI applications for government customers. You will work across AI, data and infrastructure, collaborating with Product to shape offerings, and demonstrate capabilities to customers.

US citizenship is required and in-person interviews are common. This role supports Google Cloud AI initiatives and shares lessons with customers and internal teams, with opportunities to

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