Whitespace

AI Engineer

Whitespace

full-time

Posted on:

Location Type: Remote

Location: California • District of Columbia • United States

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Tech Stack

CloudCyber SecurityDistributed SystemsPythonPyTorch

About the role

  • 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
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
PythonFastAPIasyncioPyTorchagent frameworksOpenAI Agents SDKgenerative AI modelsprompt engineeringLLM modelscloud-native architectures
Soft Skills
collaborationmentorshipcommunication