Agentic AI Engineer
New
W
WhitespaceCybersecurity AI
Remote / Alexandria, VA; 100% remote for candidates that are not located within fifty miles of the corporate office; must reside in the contiguous United StatesFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- At least 5 years
- Required Skills
- PythonPyTorchFastAPIPrompt EngineeringMLOpsGenerative AI
Requirements
- Bachelor's or master’s degree in Computer Science, AI, Machine Learning, or a related field (or equivalent experience).
- At least 5 years of related professional experience.
- Strong proficiency in Python, including libraries/frameworks such as FastAPI, asyncio, and PyTorch.
- Deep understanding of agent frameworks (e.g., OpenAI Agents SDK, autogen, Google ADK/A2A, LangGraph).
- Expertise in integrating generative AI models (OpenAI, Anthropic, Google Gemini, LLaMA) into practical agentic systems.
- Experience designing scalable, distributed systems and cloud-native architectures.
- Extensive experience in prompt engineering and fine-tuning LLM models.
- Knowledge of techniques for grounding generative models with external knowledge sources (RAG, Knowledge graphs).
- Familiarity with MLOps principles and tools for model deployment and monitoring.
- Understanding of security implications and mitigation strategies for generative AI and agentic systems.
- Must be a U.S. citizen and reside in the contiguous United States.
- Eligibility to be cleared.
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.
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