AI Systems Engineer

Responsibilities

• Design, build, and improve systems connecting AI capability development to production reality
• Improve packaging, versioning, promotion, and rollback of model and capability artifacts
• Build and improve deployment and release pathways for AI-backed services
• Enable shadow-serving, staged rollout, and candidate-versus-incumbent comparison
• Strengthen runtime behavior, observability, and debugging for model-backed systems
• Automate evaluation systems to enable evidence-based release decisions
• Reduce bespoke coordination by strengthening shared rails for multiple AI teams

Requirements

• Bachelor's degree in Computer Science, Engineering, or equivalent experience
• 2 to 6 years of professional software engineering experience
• Proven track record of shipping production infrastructure or real systems
• Experience writing solid, maintainable production code
• Ability to solve complex debugging challenges
• Experience operating in ambiguous, cross-functional environments
• Expertise in building for reproducibility, operability, and rollout safety

Preferred Qualifications

• Experience with cloud infrastructure or containerized environments
• Experience with managed ML platforms or service orchestration systems
• Experience with model serving, deployment systems, or ML lifecycle tooling
• Experience with distributed systems or service platforms
• Experience with testing, benchmarking, or evaluation frameworks
• Exposure to applied AI, speech, or conversational systems

About the Company

Dialpad is the AI-native business communications platform. We unify calling, messaging, meetings, and contact center on a single platform, powered by AI that understands every conversation in real time.