AI Solutions Engineer

Join our New York team as a Solutions Engineer building AI automation for billion-dollar real estate firms.

A week in the life of our NYC Solutions Engineer

Monday: Implementing a lease extraction skill for Starwood, helping them adapt proven patterns to their specific data definitions. You spot an edge case that we don’t yet support and request a feature update.

Tuesday: Running evaluations on three customer implementations. One's underperforming - you analyze failure patterns, identify it's a context window issue with their documents, escalate with diagnostic details and propose prompt restructuring.

Wednesday: Engineering shipped external knowledge base integration. You're building training content, tailoring to accounts which need this capability first, designing rollout plans tailored to their data structures.

Thursday: A customer's data dictionary produces inconsistent extractions. You recognize this pattern from another account - their schema needs restructuring. You apply the fix, document both cases, and update the customer with the good news.

Friday: Building prompt libraries for two new accounts ahead of onboarding. You're adapting proven patterns but notice their document hierarchy requires a different context organization approach - you capture this insight and agree an approach with the team.

This is hands-on AI implementation at Fifth Dimension. Optimizing with customers daily. Learning what works. Making our platform better through systematic pattern recognition.

About us

Fifth Dimension is bringing the magic of AI automation to document-heavy industries 🌈. Today we work with leading real estate businesses in the UK and US, automating complex workflows, extracting valuable insights from documents, and empowering professionals to focus on high-impact work. Our AI workspace transforms how large investment managers handle leases, development documents, and investment decisions.

We're an international startup based in London and New York, backed by Tier 1 American and European investors. Our founders, Johnny Morris and Dr. Kate Jarvis, bring a powerful blend of expertise: Johnny has 18+ years applying data and analytics to real estate, while Kate holds a Stanford PhD and 12 years of executive experience across Silicon Valley and London startups.

At Fifth Dimension, we're demanding yet encouraging, valuing experimentation and thoughtful challenge. Our company values - Own It, Ship It, and Don't Be Boring - drive us to deliver exceptional results whilst fostering a culture of innovation and continuous improvement.

What you'll do

As a Solutions Engineer, you'll implement and optimize AI automation for enterprise customers across the US.

Day to day:

• 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

What we're looking for

You've implemented AI solutions in production and know how to optimize for quality. You design effective prompts, structure data for AI consumption, and run evaluations to measure what's working. When things break or underperform, you troubleshoot systematically.

You bring:

• 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 effect