163K–306K USD / year

Manager, AI Engineering

AIRemote — United States
Published on 2026-10-21
These details were extracted automatically from the original listing. They may not be complete or fully up to date — it's worth checking the original job post.

About this role

Lead a small engineering team while building production-ready AI agent capabilities focused on security, quality, and human-agent collaboration. The role combines hands-on engineering and research with technical leadership, translating research insights into scalable product features.

About the company

SandboxAQ leverages artificial intelligence and quantum technology to improve decision-making processes across various sectors, including life sciences and medical devices. The company focuses on developing innovative solutions that address complex challenges in data analysis, research, and product management.

The team

Cybersecurity

Stack

PythonMachine learning frameworksAgentic frameworks

What you'll do

  • Lead and mentor a small technical team while contributing hands-on engineering and research.
  • Set technical direction and guide execution on ambiguous problems.
  • Build frameworks for agent monitoring, guardrails, and evaluation.
  • Perform exploratory data analysis, feature engineering, and model fine-tuning.
  • Translate AI research into product features with Product and Research teams.
  • Deliver production-ready code and scalable, reliable software.

What we're looking for

  • Bachelor’s degree in Computer Science or a related field, with exposure to AI/ML.
  • Deep expertise in AI/ML, software engineering, or AI security.
  • Strong Python skills and experience with relevant ML or agentic frameworks.
  • Demonstrated cross-functional collaboration and end-to-end ownership.
  • Ability to learn new languages and technologies to deliver reliable software.

Nice to have

  • PhD focused on AI/ML or a related field.
  • Experience with agent orchestration, agent teams, prompt injection, red teaming, data poisoning, secure deployment, sandboxing, or AI misuse monitoring.
  • Open-source contributions.
  • Experience in a fast-paced startup.
  • Cybersecurity experience.

Benefits

  • Equity participation and performance-based incentives or bonuses where applicable.
  • Medical, dental, and vision coverage with employer contributions.
  • Retirement savings with company matching.
  • Paid parental leave and family-building benefits.
  • Flexible paid time off and company-wide seasonal breaks.
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