Agentic AI Engineer Location: Remote / Alexandria, VAClearance: Eligibility to be clearedAre you ready to be part of a team that creates cutting-edge AI-powered analysis and simulation on-demand? At Whitespace, we use our Iris platform to uncover hidden relationships and patterns of life (POL) at machine speed, enhancing mission performance like never before. We are seeking a creative and proven Agentic AI Engineer to join our dynamic team and play a crucial role in unlocking the potential of our AI models. Someone who knows how to make AI systems that do more than just generate text — they make them take action. This role focuses on building intelligent, tool-using agents that can navigate complex technical environments, identify problems, and reason about remediation paths. You will be part of a small, high-caliber team solving hard problems at the intersection of machine learning, systems, and national security. At Whitespace, we are redefining national security by pushing the limits of what is possible—leveraging AI-powered, data-driven innovation to stay ahead of tomorrow's threats. If you are passionate about making a difference in the world and being part of groundbreaking technology in national security, this position is for you! This position is 100% remote for candidates that are not located within fifty miles of the corporate office. This role requires approximately 10% travel. Remote employees will be required to travel to the corporate office in Alexandria, VA at least twice a year. This position will report directly to the Product Manager. The candidate must be a U.S. citizen and reside in the contiguous United States. You will be a W-2 employee of GeoDelphi, Inc., and we do not accept third-party applications. RequirementsRESPONSIBILITIES Architect, develop, and deploy advanced autonomous AI agents tailored for cybersecurity applications.Define and implement intelligent agent systems capable of real-time decision-making and adaptive threat responses.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.EXPERIENCEA bachelor's or master’s degree in Computer Science, AI, Machine Learning, or a related field with at least 5 years of related experience. Will consider experience in lieu of a degree.Strong proficiency in Python, with experience in relevant libraries, frameworks, and technologies such as FastAPI, asyncio, and PyTorch.Deep understanding of agent frameworks and tools (e.g., OpenAI Agents SDK, autogen, Google ADK/A2A, LangGraph, etc.).Proven experience developing in Python and deploying robust AI/ML solutions, with specific expertise in autonomous agents.Direct experience integrating generative AI models (OpenAI, Anthropic, Google Gemini, LLaMA) into practical agentic systems.Demonstrated ability to design scalable, distributed systems and cloud-native architectures.Extensive experience in prompt engineering and fine tuning LLM modelsAbility to design and implement agentic frameworks and architectures.Knowledge of techniques for grounding generative models with external knowledge sources (e.g., retrieval-augmented generation, Knowledge graphs, etc.)Familiarity with MLOps principles and tools for model deployment and monitoringUnderstanding of the security implications and mitigation strategies for generative AI and agentic systems.Excellent collaboration, mentorship, and communication skills, enabling you to collaborate effectively with distributed teams.Excellent communication skills, both verbal and written, to convey technical concepts to non-technical stakeholders.DESIRED SKILLSFamiliarity with Cloud Computing PlatformsExperience in Deploying AI models at scale in high-throughput, low-latency environments.BenefitsGEODELPHI BENEFITSMedical, Dental, and Vision plansUnlimited PTOFederal Holiday Paid Leave12 weeks of paid Parental LeaveEmployer paid STD/LTDEmployer Paid Life Insurance401K plan and Employer MatchProfessional Development AssistanceEquity Incentive Plan Who we are:GeoDelphi, Inc. dba Whitespace is building AI solutions for global leaders. Recognized as the most innovative company in the Geospatial Industry, Whitespace exponentially accelerates speed-to-answer with powerful analytics, high-cadence data feeds, and human expert-machine teaming. Our answers are rooted in truth data about human activity, delivering reliable decision advantage that keeps pace with world events. Whitespace is headquartered in Alexandria, Virginia. For further information, visit: http://www.inthewhitespace.com.GeoDelphi, Inc. is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, sex, sexual orientation, pregnancy, gender identity, national origin, disability, or Veteran status.
Agentic AI Engineer
Location: Remote / Alexandria, VA
Clearance: Eligibility to be cleared
Are you ready to be part of a team that creates cutting-edge AI-powered analysis and simulation on-demand? At Whitespace, we use our Iris platform to uncover hidden relationships and patterns of life (POL) at machine speed, enhancing mission performance like never before.
We are seeking a creative and proven Agentic AI Engineer to join our dynamic team and play a crucial role in unlocking the potential of our AI models. Someone who knows how to make AI systems that do more than just generate text — they make them take action. This role focuses on building intelligent, tool-using agents that can navigate complex technical environments, identify problems, and reason about remediation paths. You will be part of a small, high-caliber team solving hard problems at the intersection of machine learning, systems, and national security.
At Whitespace, we are redefining national security by pushing the limits of what is possible—leveraging AI-powered, data-driven innovation to stay ahead of tomorrow's threats. If you are passionate about making a difference in the world and being part of groundbreaking technology in national security, this position is for you!
This position is 100% remote for candidates that are not located within fifty miles of the corporate office. This role requires approximately 10% travel. Remote employees will be required to travel to the corporate office in Alexandria, VA at least twice a year. This position will report directly to the Product Manager. The candidate must be a U.S. citizen and reside in the contiguous United States. You will be a W-2 employee of GeoDelphi, Inc., and we do not accept third-party applications.
Requirements
RESPONSIBILITIES
- Architect, develop, and deploy advanced autonomous AI agents tailored for cybersecurity applications.
- Define and implement intelligent agent systems capable of real-time decision-making and adaptive threat responses.
- 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.
EXPERIENCE
- A bachelor's or master’s degree in Computer Science, AI, Machine Learning, or a related field with at least 5 years of related experience. Will consider experience in lieu of a degree.
- Strong proficiency in Python, with experience in relevant libraries, frameworks, and technologies such as FastAPI, asyncio, and PyTorch.
- Deep understanding of agent frameworks and tools (e.g., OpenAI Agents SDK, autogen, Google ADK/A2A, LangGraph, etc.).
- Proven experience developing in Python and deploying robust AI/ML solutions, with specific expertise in autonomous agents.
- Direct experience integrating generative AI models (OpenAI, Anthropic, Google Gemini, LLaMA) into practical agentic systems.
- Demonstrated ability to design scalable, distributed systems and cloud-native architectures.
- Extensive experience in prompt engineering and fine tuning LLM models
- Ability to design and implement agentic frameworks and architectures.
- Knowledge of techniques for grounding generative models with external knowledge sources (e.g., retrieval-augmented generation, Knowledge graphs, etc.)
- Familiarity with MLOps principles and tools for model deployment and monitoring
- Understanding of the security implications and mitigation strategies for generative AI and agentic systems.
- Excellent collaboration, mentorship, and communication skills, enabling you to collaborate effectively with distributed teams.
- Excellent communication skills, both verbal and written, to convey technical concepts to non-technical stakeholders.
DESIRED SKILLS
- Familiarity with Cloud Computing Platforms
- Experience in Deploying AI models at scale in high-throughput, low-latency environments.
Benefits
GEODELPHI 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
Who we are:
GeoDelphi, Inc. dba Whitespace is building AI solutions for global leaders. Recognized as the most innovative company in the Geospatial Industry, Whitespace exponentially accelerates speed-to-answer with powerful analytics, high-cadence data feeds, and human expert-machine teaming. Our answers are rooted in truth data about human activity, delivering reliable decision advantage that keeps pace with world events. Whitespace is headquartered in Alexandria, Virginia. For further information, visit: http://www.inthewhitespace.com.
GeoDelphi, Inc. is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, sex, sexual orientation, pregnancy, gender identity, national origin, disability, or Veteran status.
