Manager, AI Engineering

This is a fully remote position, open to applicants in United States.

📋 Description

• Lead and expand a small, highly skilled team while maintaining active involvement in hands-on engineering and research.

• Establish technical direction, deconstruct ambiguous challenges, formulate actionable plans for swift, high-quality execution, and cultivate a culture of ownership, collaborative spirit, thoughtful experimentation, and high standards.

• Develop agentic capabilities, including frameworks for monitoring, guardrailing, and evaluating agents.

• Keep abreast of agentic advancements and pinpoint new opportunities.

• Conduct classical ML tasks, such as exploratory data analysis, feature engineering, and model fine-tuning.

• Quickly iterate on prototypes and features based on feedback and shifting product requirements.

• Collaborate closely with Product and Research teams to translate AI research into functional features and software engineering initiatives.

• Deliver production-ready code and technical designs across engineering to create scalable, reliable software.

• Assist in setting technical direction, elevating quality standards, mentoring team members, and translating research insights into tangible product impact.

⛳️ Requirements

• Bachelor’s degree in Computer Science or a related field with some exposure to AI/ML.

• In-depth knowledge of AI/ML, software engineering, or AI security.

• Proficient programming skills in Python and pertinent ML and/or agentic frameworks.

• Proven ability to work cross-functionally and collaboratively with a strong sense of end-to-end ownership, delivering real-world results.

• Capability to learn additional programming languages and technologies as needed to deliver scalable and dependable software.

• 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.

• Background in a fast-paced startup environment.

• PhD in Computer Science or related field with a focus on AI/ML or similar is highly preferred.

• Experience in cybersecurity is an advantage, though not mandatory.

• Candidates are ineligible to participate in foreign talent programs sponsored by China, Russia, Iran, or North Korea.

• Must have legal authorization to work in the country where the job is located.

🏝️ Benefits

• Performance-based incentives or bonuses (where applicable).

• Equity participation.

• Comprehensive medical, dental, and vision coverage for employees and their dependents, with generous employer premium contributions.

• Retirement savings with company matching.

• Paid parental leave.

• Inclusive family-building benefits.

• Fully remote work options.

• Flexible paid time off.

• Company-wide seasonal breaks.

• Support for flexible work arrangements.

• Opportunities for continuous learning and professional growth through on-the-job development.

• Cross-functional collaboration.

• Access to internal learning and development programs.