Apply on Employer Site

Fifth Dimension · 1 month ago

AI Solutions Engineer

New York, NY

Full-time

Hybrid

Entry, Mid Level

$130K/yr - $165K/yr

1+ years exp

Fifth Dimension is an international startup focused on bringing AI automation to document-heavy industries. As an AI Solutions Engineer, you will implement and optimize AI automation for enterprise customers, ensuring high-quality performance and effective prompt design while troubleshooting and driving feature adoption.

Artificial Intelligence (AI)Content MarketingDigital Marketing

Responsibilities

Implement and optimize - Build customer prompt libraries and skills using proven patterns; structure data and context for AI consumption; iterate based on performance

Define evaluations - Build Evals, analyze results for failure patterns, identify root causes (prompt issues, data structure problems, context gaps)

Surface patterns and gaps - Document what's novel across implementations; escalate product limitations with context and customer impact

Drive feature adoption - Translate new platform capabilities into customer value through training content and implementation plans

Technical triage - Debug customer issues systematically; resolve directly when possible, escalate with full diagnostic context when needed

Maintain and improve - Keep prompt libraries optimized as platform evolves; update data structures when customer needs change

Qualification

AI implementationData structuringPrompt designDebugging AI outputsCustomer trainingWorkflow automationPattern recognitionA/B testingBasic codingReal estate exposure

Required

1-3 years hands-on with AI/LLMs - you've built prompt templates, automated workflows with AI tools, or helped customers implement AI features in production

Organized data for AI - you've structured spreadsheets, built taxonomies, or created knowledge bases that AI systems can actually parse and use effectively

Tested systematically - you've compared outputs across different prompts, tracked what works vs what doesn't, A/B tested approaches to improve results

Delivered to customers - you've helped customers set up workflows, trained teams on AI tools, or solved implementation problems with measurable success

Debugged AI outputs - when results were wrong, you figured out why (prompt needed fixing, data was messy, context was missing) and corrected it

Built from patterns - you noticed what worked across cases, created templates or playbooks, and reused proven approaches rather than starting from scratch each time

NYC-based or willing to relocate