Alexandria, Virginia, United States Hybrid

GeoDelphi, Inc. dba Whitespace is hiring an Agentic AI Software Engineer

Responsibilities

  • Architect, develop, and deploy advanced autonomous AI agents.
  • Define and implement intelligent agent systems capable of real-time decision-making
  • Collaborate cross-functionally with product managers, engineers, and analysts to translate innovative concepts into robust solutions.
  • Mentor and guide engineering teams on best practices in developing agent-based AI solutions.
  • Continuously evaluate, test, and enhance the capabilities and performance of agentic systems within Whitespace’s ecosystem.
  • Drive technical excellence and promote engineering best practices within the AI team.

Benefits

  • Medical, Dental, and Vision plans
  • Unlimited PTO
  • Federal Holiday Paid Leave
  • 12 weeks of paid Parental Leave
  • Employer paid STD/LTD
  • Employer Paid Life Insurance
  • 401K plan and Employer Match
  • Professional Development Assistance
  • Equity Incentive Plan

Work Arrangement

Hybrid

Team

Team size: small. Structure: high-caliber team solving hard problems at the intersection of machine learning, systems, and national security

Additional Information

  • Candidate must be a U.S. citizen
  • Candidate must reside in the contiguous United States
  • Eligibility to be cleared
  • Position is 100% remote for candidates not within fifty miles of Alexandria, VA
  • Reports directly to the Vice President of Engineering
  • Candidate will be a W-2 employee of GeoDelphi, Inc.
  • Third-party applications are not accepted
Required Skills
PythonFastAPIPytorchLangChainOpenAILLMAPI DevelopmentMachine Learning
Job Details
Location Alexandria, Virginia, United States
Work mode Hybrid
Category Data & ML
Posted a year ago
About company
GeoDelphi, Inc. dba Whitespace
Builds AI solutions for global leaders, recognized as the most innovative company in the Geospatial Industry. Exponentially accelerates speed-to-answer with powerful analytics, high-cadence data feeds, and human expert-machine teaming.
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