Note: The job is a remote job and is open to candidates in USA. SandboxAQ is seeking a hands-on Manager, AI Engineering to build agentic collaboration, trust, and ROI capabilities. The role combines hands-on AI engineering and research with leading a small team, setting technical direction, and turning research insights into production features.
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 and identifying new opportunities
- Perform classical ML tasks, including exploratory data analysis, feature engineering, and model fine-tuning, and rapidly iterate on prototypes and features based on feedback and evolving product needs
- 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 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
- PhD in Computer Science or related field with focus on AI/ML or similar
- Hands-on experience with at least one of the following: agent orchestration, agent harnesses, agent teams, jailbreaking / prompt injection, red teaming, data poisoning or evasion attacks, secure model deployment or sandboxing, detection and monitoring for AI misuse
- Experience contributing to open source projects
- Experience in a fast-paced startup environment
- Experience in cybersecurity is a plus, but not essential
Benefits
- Performance-based incentives or bonuses (where applicable), and equity participation.
- Comprehensive medical, dental, and vision coverage for employees and dependents with generous employer premium contributions.
- Retirement savings with company matching.
- Paid parental leave and inclusive family-building benefits.
- Fully remote.
- Flexible paid time off and company-wide seasonal breaks.
- Support for flexible work arrangements that enable sustainable performance.
- Opportunities for continuous learning and growth through on-the-job development, cross-functional collaboration, and access to internal learning and development programs.
Company Overview
Company H1B Sponsorship