Ascent

AI Engineer

• Own solutions from discovery and architecture through implementation, phased testing, deployment, monitoring, and production support
• Build AI capabilities into real applications and workflows, including model and service integration, grounding or retrieval patterns, structured outputs, orchestration, guardrails, and fallback behavior
• Deliver intuitive web experiences, robust APIs and services, and reliable connections between application, AI, and data layers
• Create shared components, templates, reference architectures, deployment patterns, and standards for reuse across initiatives
• Define testing across development and deployment stages
• Implement automated software tests and repeatable evaluation of AI quality, reliability, latency, and failure modes
• Instrument applications for tracing AI, data, integration, and application behavior
• Diagnose issues across upstream and downstream dependencies and implement durable fixes
• Embed authentication, authorization, secrets management, data protection, auditability, compliance controls, and lineage into solution design
• Measure and improve operating cost, token consumption, model selection, retrieval strategy, caching, latency, and infrastructure use
• Report the economics of operating each solution
• Partner with UI/UX and business stakeholders to improve user outcomes and adoption
• Contribute ideas, review designs and code, share specialist knowledge, and lead challenges aligned with technical strengths

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Lead AI Product Engineer