AI Engineer

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🕒 Abril 15

🏄 California, District of Columbia, +1 estados a mais – Remoto

🏄 California – Remote 🏛️ District of Columbia – Remote ⚔️ Virginia – Remote

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

🤖 Engenheiro de IA

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Whitespace

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1 - 10 funcionários

🔐 Segurança

🤖 Inteligência Artificial

📋 Conformidade

Security • Artificial Intelligence • Compliance

Whitespace é uma empresa focada no desenvolvimento de técnicas conscientes de privacidade para medir, simular e compreender a atividade humana globalmente. A empresa atende organizações de saúde pública, inteligência de risco, pesquisa, aplicação da lei, sem fins lucrativos, defesa nacional e reguladoras para melhorar a segurança humana na era digital. Suas soluções baseadas em dados analisam movimento, permanência e interação para relatar, simular e interpretar padrões de atividade em qualquer lugar do mundo. As abordagens inovadoras da Whitespace também mapeiam, acompanham e prevêem movimentos de embarcações, particularmente em regiões como o Mar Negro, enfrentando crimes marítimos sofisticados. A empresa enfatiza a importância das conexões de rede na interpretação de fluxos de dados de várias fontes, como redes sociais e IoT.

Descrição

• 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.

🎯 Requisitos

• 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.

🏖️ Benefícios

• 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