Whitespace

Whitespace invents privacy-conscious techniques to measure and understand global human activity, offering data-centric solutions for security and intelligence sectors.

Professional Services

Industrials

11-50 (15)

Founded 2014

5 open positions

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Agentic AI Engineer

3 months, 3 weeks ago

United States

Full-time

Senior

AI Engineer

Artificial Intelligence and Machine Learning

Cybersecurity FastAPI Generative AI Machine Learning MLOps Python PyTorch

Apply Now

Whitespace

Whitespace invents privacy-conscious techniques to measure and understand global human activity, offering data-centric solutions for security and intelligence sectors.

Professional Services

11-50

Founded 2014

View All Jobs 5

Description

Architect, develop, and deploy autonomous AI agents for cybersecurity applications.
Define agent systems that can make real-time decisions and adapt to threats.
Collaborate with product managers, engineers, and analysts to turn concepts into working solutions.
Mentor engineering teams on best practices for building agent-based AI systems.
Continuously evaluate, test, and improve the performance of agentic systems.
Drive technical excellence and engineering best practices within the AI team.

Requirements

Bachelor’s or master’s degree in Computer Science, AI, Machine Learning, or a related field, with at least 5 years of related experience, or equivalent experience in lieu of a degree.
Strong Python proficiency, including experience with frameworks and libraries such as FastAPI, asyncio, and PyTorch.
Deep understanding of agent frameworks and tools such as OpenAI Agents SDK, AutoGen, Google ADK/A2A, and LangGraph.
Proven experience building and deploying robust AI/ML solutions, with specific expertise in autonomous agents.
Direct experience integrating generative AI models such as OpenAI, Anthropic, Google Gemini, and LLaMA into agentic systems.
Demonstrated ability to design scalable, distributed systems and cloud-native architectures.
Extensive experience with prompt engineering and fine-tuning LLMs.
Ability to design and implement agentic frameworks and architectures.
Knowledge of grounding generative models with external knowledge sources such as retrieval-augmented generation and knowledge graphs.
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, including the ability to explain technical concepts to non-technical stakeholders.
U.S. citizenship and residency in the contiguous United States are required.
Eligibility to obtain a clearance is required.
Approximately 10% travel is required, including travel to the Alexandria, VA office at least twice per year for remote employees.
Familiarity with cloud computing platforms is preferred.
Experience deploying AI models at scale in high-throughput, low-latency environments is preferred.

Benefits

Medical, dental, and vision coverage.
Unlimited PTO.
Federal holiday paid leave.
12 weeks of paid parental leave.
Employer-paid short-term and long-term disability coverage.
Employer-paid life insurance.
401(k) plan with employer match.
Professional development assistance.
Equity incentive plan.

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