Agentic AI Engineer

Agentic AI Engineer Location: Remote / Alexandria, VA Clearance: Eligibility to be cleared 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. 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. 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 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. 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. #J-18808-Ljbffr