Lead AI Engineering & Agent Security

SandboxAQ; United States; Remote; USD 150,000 - 230,000; Full time

Benefits offered by this job

Remote work across the United States

Equity participation

Comprehensive benefits

Job summary

SandboxAQ is seeking a hands-on Manager, AI Engineering to lead a small high-tech team at the intersection of AI research and production software. You’ll ship features that enable agentic collaboration, trust, and ROI, while mentoring engineers and setting direction.

You will guide architectural choices, implement monitoring and guardrails for agents, and collaborate with Product and Research to turn research into real-world capabilities. This role offers remote work across the United States.

Qualifications

• BSc in Computer Science or related field with exposure to AI/ML.
• Deep expertise in AI/ML, software engineering, or AI security.
• Strong programming skills in Python, and relevant ML and/or agentic frameworks.
• Demonstrated ability to work cross-functionally and collaboratively with a high degree of end-to-end ownership, delivering real world outcomes.
• Ability to pick up other programming languages and technologies as required to ship scalable and reliable software.

Responsibilities

• Lead and grow a small, highly technical team while remaining deeply involved in hands-on engineering and research.
• Set technical direction, break down ambiguous problems, establish practical plans for fast, high-quality execution, and build a culture of ownership, low-ego collaboration, thoughtful experimentation, and high standards.
• Create new agentic capabilities, including frameworks for monitoring, guardrailing, and evaluating agents, while staying current on the latest agentic developments.
• Perform classical ML tasks, including exploratory data analysis, feature engineering, and model fine-tuning, and rapidly iterate on prototypes and features based on feedback.
• Work closely with Product and Research to translate AI research into applicable features and software engineering projects.
• Contribute production-ready code and technical designs, working across engineering to deliver scalable, reliable software.

Skills

BSc in Computer Science or related

AI/ML expertise

Software engineering

Python programming

Cross-functional collaboration

Education

BSc in Computer Science

PhD in Computer Science (desirable)

Tools

Agentic/ML frameworks

Open source contributions

Job description

SandboxAQ is seeking a hands-on Manager, AI Engineering to lead a small high-tech team at the intersection of AI research and production software. You’ll ship features that enable agentic collaboration, trust, and ROI, while mentoring engineers and setting direction.

You will guide architectural choices, implement monitoring and guardrails for agents, and collaborate with Product and Research to turn research into real-world capabilities. This role offers remote work across the United States.