Senior AI Engineer: Production LLMs & API Systems

XDI Solutions; Denver (CO); Hybrid; USD 150,000 - 180,000; Full time

Job summary

XD Innovation is seeking a Senior AI Engineer to integrate AI into production software and build scalable APIs expose AI features to end users. You will work with the AI Architect and engineering teams to deliver production-ready solutions, turning complex business needs into practical AI-powered applications.

The role emphasizes production deployment, security, data privacy, and enterprise-grade robustness, requiring extensive AI tool usage in daily tasks.

Qualifications

• Commercial experience building software products with AI/ML capabilities.
• Strong understanding of software architecture, APIs and microservices.
• You use AI tools extensively in your day to day (Cursor, Claude Code etc)
• Experience taking AI capabilities from concept through to production.
• Strong analytical and problem-solving skills.
• Comfortable working within enterprise software environments.

Responsibilities

• Build and integrate AI-powered capabilities into production software.
• Develop scalable APIs and microservices that expose AI functionality to end users.
• Work on solutions including anomaly detection, predictive scoring and root-cause recommendations.
• Partner with our AI Architect and wider engineering team to design and deliver production-ready solutions.
• Turn complex business requirements into practical, scalable AI-powered applications.
• Ensure solutions meet security, data privacy and regulatory requirements.

Skills

AI/ML production

APIs & microservices

Anomaly detection

Production deployment

Regulatory compliance

Tools

Cursor

Claude Code

Job description

XD Innovation is seeking a Senior AI Engineer to integrate AI into production software and build scalable APIs expose AI features to end users. You will work with the AI Architect and engineering teams to deliver production-ready solutions, turning complex business needs into practical AI-powered applications.

The role emphasizes production deployment, security, data privacy, and enterprise-grade robustness, requiring extensive AI tool usage in daily tasks.