AI Engineer
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Job Description
Agentic AI Engineer developing advanced AI agents focused on cybersecurity applications for national security. Join a cutting-edge team at Whitespace using machine learning solutions.
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.
Requirements:
- 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.
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
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