Whitespace (inthewhitespace.com) Logo

Whitespace (inthewhitespace.com)

Agentic AI Engineer

Reposted 4 Days Ago
In-Office or Remote
3 Locations
Senior level
In-Office or Remote
3 Locations
Senior level
Lead the design and development of advanced AI agents for cybersecurity, focusing on real-time decision-making and adaptive threat responses, while mentoring teams and collaborating across functions.
The summary above was generated by AI

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.

Similar Jobs

Yesterday
Remote or Hybrid
OH, USA
Senior level
Senior level
Financial Services
Designs, develops, debugs, and delivers secure, scalable software solutions using modern SDLC and agile practices. Leverages enterprise-authorized AI-assisted coding tools, produces architecture and design artifacts, analyzes large data sets to improve systems, and ensures operational stability and secure coding standards.
Top Skills: Agentic AiAi-Assisted Development ToolsApi GatewayAurora PostgresAws EcsAws IamAws LambdaAws S3Aws VpcCi/CdClaudeCursorElbGitGithub CopilotJavaJenkinsJunitKafkaMavenMicroservicesMockitoRoute53SonarqubeSpring BootTerraform
8 Days Ago
Remote or Hybrid
2 Locations
120K-180K Annually
Senior level
120K-180K Annually
Senior level
Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
Design, build, and operate agentic AI systems end-to-end for Professional Services. Translate stakeholder needs into secure, scalable multi-agent architectures, define performance benchmarks, manage deployments and incident response, advise leadership, mentor teammates, and maintain runbooks and production tooling including on-call responsibilities.
Top Skills: AdkAutomated TestingAws DynamodbAws IamAws S3Aws SnsAws SqsCi/CdCrewaiFeature FlagsLanggraphLlmsPythonRest ApisSlack Bot Frameworks
12 Days Ago
Remote or Hybrid
Pennsylvania, USA
99K-231K Annually
Senior level
99K-231K Annually
Senior level
Digital Media • Information Technology • News + Entertainment
Build and maintain Premonition, an internal platform for managing, deploying, and monitoring agentic LLM pipelines. Develop composable agents, tools, APIs, orchestration, and infrastructure on AWS/EKS. Optimize high-performance data layers (Iceberg/Delta/Hudi), embedded engines (DuckDB, LanceDB), and ensure observability, safety, and secure integration with SOC, IR, and threat-hunting workflows.
Top Skills: AWSCi/CdDelta LakeDuckdbHudiIcebergKubernetes/EksLancedbLlmsMicroservicesObservabilityPythonSQL

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account