Artificial Intelligence Engineer

Summary

MAZ is a management consulting firm for value creation and M&A that uses its private intelligence engine, COCO, to support teams and clients. The Artificial Intelligence Engineer will expand COCO’s capabilities, translate consultant needs into platform features, maintain strong security standards, and own platform reliability and compliance alignment.

Responsibilities

• Take COCO into new territory: new use cases, new engagement patterns, new depth from the models underneath to the surface the team works in
• Uphold and keep raising: the security standards the platform is built on: confidentiality by architecture, not by policy
• Translate what our consultants need in the field into platform capability; small releases, shipped fast
• Own reliability and the platform's alignment with security frameworks; SOC 2, ISO 27001, and what clients ask for next

Skills

• 4+ years building and running production software — backend, frontend, and cloud
• LLM systems in production: orchestration, evals, retrieval — beyond calling an API
• Security instincts — tenancy, least privilege, and data isolation as defaults
• Judgment about what to build — and the restraint not to build the rest
• Bachelor's degree in computer science or a related field — or the engineering track record that makes one redundant
• This role is remote within the United States; authorization to work in the U.S. is required

Qualifications

Must Haves

• 4+ years building and running production software — backend, frontend, and cloud
• LLM systems in production: orchestration, evals, retrieval — beyond calling an API
• Security instincts — tenancy, least privilege, and data isolation as defaults
• Judgment about what to build — and the restraint not to build the rest
• Bachelor's degree in computer science or a related field — or the engineering track record that makes one redundant
• This role is remote within the United States; authorization to work in the U.S. is required

Benefits

• Fixed and variable compensation
• Equity participation
• Competitive benefits
• Remote within the United States