Senior/Staff AI Engineer, SandboxAQ

• A successful candidate must be comfortable owning the end-to-end lifecycle of both internal and external facing software systems and applications and have significant industry experience bringing products from conception to production and deployment
• Knowledge of best practices for AI and software development is critical
• BS in Software Engineering, Computer Science, or equivalent field of study
• Willing and able to travel both within the continental US and internationally as required (less than 20% of the time) to support customer engagements, meet with contracting partners, and attend customer product demonstrations
• 10+ years of postgraduate experience in software development (preferred), systems engineering, robotics, systems analysis, or other related fields
• Experience developing highly-available, performant, scalable web applications
• Strong expertise in programming languages such as Python or TypeScript. Experience with other languages (e.g., Java, C++, Rust, etc.) preferred
• Long, successful history of bringing software from initial conception through to architecture, development, testing, and release into production
• Proficiency in software development methodologies and best practices (e.g., Agile practices, CI/CD, test-driven development.)
• Strong Linux fundamentals (bash scripting, operating system configuration) and familiarity with common developer and devops tools such as Terraform, Git, Github, and the Atlassian suite tools Jira and Confluence

Desirable

• SandboxAQ's AI Team is seeking a highly accomplished, veteran software engineer to design and rapidly prototype AI-first SaaS products incorporating Large Quantitative Models (LQMs) and agentic frameworks
• The candidate will be part of a diverse team consisting of AI researchers, engineers, and machine learning experts where they will play a key role in efficient and effective enablement of the technologies being developed
• Design, implement, and test complex software systems for AI-first SaaS products incorporating LQMs and agentic frameworks as part of a small but highly-functioning team of engineers and scientists
• Serve as a go-to technical expert to support successful development and deployment of software
• Uphold quality and efficiency standards for the team
• Advocate for and lead efforts to implement industry best practices for AI and software development
• Design and Plan: In partnership with your colleagues, you will take ownership of significant portions of the software stack. You will help with planning and prioritization by assessing both current and longer term software needs, breaking plans down into a series of manageable tasks, and resolving competing priorities
• Implement: You will execute on your plans by carrying your ideas through from conception to completion
• Communicate: You will regularly communicate progress on your various efforts and give team presentations on newly developed tools and technologies when applicable/appropriate. You will also thoroughly document your work in appropriate forums, including code comments and design documents