SandboxAQ Logo

SandboxAQ

AI Engineer

Posted 5 Days Ago
Remote
Hiring Remotely in United States
122K-228K Annually
Entry level
Remote
Hiring Remotely in United States
122K-228K Annually
Entry level
Build production-ready agentic AI capabilities focused on monitoring, guardrails, evaluation, security, quality, and human-agent collaboration. Perform machine learning tasks including exploratory data analysis, feature engineering, and model fine-tuning. Translate research into scalable software, rapidly prototype features, collaborate cross-functionally, and explore emerging agentic technologies.
The summary above was generated by AI
About SandboxAQ

SandboxAQ is a high-growth company delivering AI solutions that address some of the world's greatest challenges. The company’s Large Quantitative Models (LQMs) power advances in life sciences, financial services, navigation, cybersecurity, and other sectors.

We are a global team that is tech-focused and includes experts in AI, chemistry, cybersecurity, physics, mathematics, medicine, engineering, and other specialties. The company emerged from Alphabet Inc. as an independent, growth capital-backed company in 2022, funded by leading investors and supported by a braintrust of industry leaders.

At SandboxAQ, we’ve cultivated an environment that encourages creativity, collaboration, and impact. By investing deeply in our people, we’re building a thriving, global workforce poised to tackle the world's epic challenges. Join us to advance your career in pursuit of an inspiring mission, in a community of like-minded people who value entrepreneurialism, ownership, and transformative impact.

The Opportunity

The SandboxAQ AI team is looking for an AI Engineer to help us build the future of agentic collaboration, trust and ROI. Our goal is to make agents work well on their own, in teams, and with humans. This includes the following aspects:

  • Security: Discovery of agents, evaluation, red teaming, monitoring, guardrails, etc.

  • Quality: Measuring ROI of agents and suggesting improvements

  • Collaboration: Bringing humans and agents together into one place with shared context

A successful candidate thrives at the intersection of AI and software engineering. You deeply understand how models and agents work, how they can fail, how they can be protected and improved. You have hands-on experience with agents in production, know what works and what doesn’t, know the latest trends and you’re opinionated about the future. You know what you don’t know and enjoy learning to close those gaps. You’ll turn your insights and innovation into real world features baked into our platform - shipping code to production.

This is a hands-on role where you’ll break things, fix them and then harden them for good. At the same time, you’ll have freedom to explore, collaborate, publish, and deploy, shaping the field of agentic collaboration and trust from all angles.

We’re looking for somebody with the curiosity of a researcher, the rigor of an engineer, and the creativity of a hacker. You will be part of a diverse team consisting of ML experts, security experts, mathematicians, and software engineers, each playing a key role in efficient and effective enablement of the cutting-edge technologies being developed at SandboxAQ.

Key Responsibilities
  • Create new agentic capabilities - frameworks for monitoring, guardrailing, and evaluating them, and to make them work together more effectively.

  • Perform classical ML tasks - exploratory data analysis, feature engineering and fine-tuning models using the latest frameworks.

  • Work closely with Product and Research to translate AI research into applicable features and software engineering projects.

  • Rapidly iterate on prototypes and features based on feedback and evolving product needs.

  • Contribute production ready code, working across engineering to deliver scalable software.

  • Stay on the edge of the latest agentic developments and explore new opportunities.

Essential Skills & Experience
  • MSc 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.

Highly Desired Skills & Experience
  • 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.

Why Join Us?

We offer competitive compensation, a comprehensive benefits package, and opportunities for professional growth.

  • Compensation: Competitive base salary, performance-based incentives or bonuses (where applicable), and equity participation.

  • Benefits: 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.

  • Work-Life Balance: Flexible paid time off, company-wide seasonal breaks, and support for flexible work arrangements that enable sustainable performance.

  • Career Development: Opportunities for continuous learning and growth through on-the-job development, cross-functional collaboration, and access to internal learning and development programs.

SandboxAQ Welcomes All

We are committed to fostering a culture of belonging and respect, where diverse perspectives are actively sought and valued. Our multidisciplinary environment provides ample opportunity for continuous growth - working alongside humble, empowered, and ambitious colleagues ready to tackle epic challenges.

Equal Employment Opportunity: All qualified applicants will receive consideration regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status.

Accommodations: We provide reasonable accommodations for individuals with disabilities in job application procedures for open roles. If you need such an accommodation, please let a member of our Recruiting team know.

Read: Guidance for candidates on using AI Tools in interviews

Similar Jobs

Yesterday
Easy Apply
Remote
United States
Easy Apply
173K-255K Annually
Senior level
173K-255K Annually
Senior level
Big Data • Fintech • Mobile • Payments • Financial Services
Build and operate Affirm’s AI Platform, including LLM and MCP gateways, agent runtimes, evaluation services, and observability systems. Design secure, highly available backend infrastructure with identity, quota, routing, caching, failover, cost attribution, and governance controls. Own technical projects from design through launch and on-call, establish engineering standards, collaborate across security and infrastructure teams, and mentor engineers while supporting production AI workloads at scale.
Top Skills: AWSAws BedrockChatgptClaudeKotlinKubernetesLitellmMcpMySQLPython
Yesterday
In-Office or Remote
99K-176K Annually
Mid level
99K-176K Annually
Mid level
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Build and deploy production-grade AI/ML software, APIs, and applications for healthcare provider use cases. Develop prompt-based AI capabilities, integrate enterprise data and cloud services, create automated tests and evaluation pipelines, and ensure security, observability, scalability, and reliability. Collaborate with product, architecture, data science, and platform teams while owning technical work from proof of concept through production.
Top Skills: APIsCi/CdCloud PlatformsDockerGitJavaJava EeJwtModel EvaluationMongoDBMySQLOauthOpenshiftPrompt EngineeringReactRestSplunkSpring Boot
Yesterday
In-Office or Remote
2 Locations
Senior level
Senior level
Artificial Intelligence • Consumer Web • Digital Media • Information Technology • Social Impact • Software
Build and own evaluation infrastructure, observability tooling, datasets, annotation workflows, and diagnostic systems for production AI agents. Lead experiments across prompts, models, routing, caching, cost, and latency. Diagnose failures across planning, tool use, and agent execution, while partnering with AI Core engineering. Manage and grow the AI Quality team as a hands-on player-coach, contributing directly to production code and technical direction.
Top Skills: Ai AgentsAnnotation WorkflowsBraintrustCachingCi/CdEvaluation FrameworksLangsmithLlmsModel RoutingObservability ToolingPythonRuby On Rails

What you need to know about the Colorado Tech Scene

With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.

Key Facts About Colorado Tech

  • Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
  • Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
  • Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
  • Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account