AI Engineer (Catalyst)
ΠΡΡΡ & Π‘ΠΎΠΏΡΠΎΠ²ΠΎΠ΄
ΠΠ»Ρ ΠΌΡΡΡΠ° Ρ ΡΡΠΎΠΉ Π²Π°ΠΊΠ°Π½ΡΠΈΠ΅ΠΉ Π½ΡΠΆΠ΅Π½ Plus
ΠΠΏΠΈΡΠ°Π½ΠΈΠ΅ Π²Π°ΠΊΠ°Π½ΡΠΈΠΈ
TL;DR
AI Engineer (Catalyst): Building and evolving an AI intelligence platform for the real estate industry with an accent on agentic workflows and evaluation infrastructure. Focus on rapid prototyping, shipping features end-to-end using AI-augmented development, and measuring outcomes to solve complex real estate document challenges.
Location: Hybrid, with office presence required in London, New York, or Singapore.
Compensation: Up to Β£120,000 (London/Singapore) / $200,000 (New York) + equity.
Company
is a high-growth AI startup revolutionizing document-heavy real estate processes with a global presence.
What you will do
- Ship production-ready features multiple times daily using AI-augmented workflows like Claude Code and Codex.
- Own feature lifecycles from understanding customer problems and implementation to deployment and measuring impact.
- Design agentic workflows and evaluation infrastructure for our AI intelligence platform.
- Experiment rapidly, prototype new approaches, and iterate based on data and test results.
- Pair with staff and principal engineers to integrate deep domain knowledge with AI-driven development speed.
- Collaborate across product, customer success, and engineering to solve real-world enterprise customer challenges.
Requirements
- Must be based in or able to work from London, New York, or Singapore.
- Demonstrable experience shipping software through personal projects, open source, or professional work.
- Fluency in AI coding tools such as Claude Code or Codex for daily development.
- Strong programming fundamentals, specifically in Python and TypeScript.
- Ability to debug, reason about, and maintain AI-generated code.
- Comfort with rapid experimentation and outcome-focused development.
Nice to have
- Experience contributing to open-source projects.
- Familiarity with cloud platforms (GCP preferred) or infrastructure tooling.
- Background in real estate, law, or finance domains.
- Experience fine-tuning or building applications with LLM APIs.
Culture & Benefits
- Meaningful equity stake with a standard vesting schedule.
- Localised benefits including support for lifeβs challenges and well-being budgets.
- Annual training budget for professional development.
- Opportunities for international travel between London, New York, and Singapore offices.
- Culture driven by values of "Own It, Ship It, and Donβt Be Boring".
Hiring process
- Initial call to explore fit.
- Live task and competency interview.
- On-site half-day workshop including product building and culture fit conversations.
- Optional one-week paid trial available for qualified candidates.
ΠΡΠ΄ΡΡΠ΅ ΠΎΡΡΠΎΡΠΎΠΆΠ½Ρ: Π΅ΡΠ»ΠΈ ΡΠ°Π±ΠΎΡΠΎΠ΄Π°ΡΠ΅Π»Ρ ΠΏΡΠΎΡΠΈΡ Π²ΠΎΠΉΡΠΈ Π² ΠΈΡ ΡΠΈΡΡΠ΅ΠΌΡ, ΠΈΡΠΏΠΎΠ»ΡΠ·ΡΡ iCloud/Google, ΠΏΡΠΈΡΠ»Π°ΡΡ ΠΊΠΎΠ΄/ΠΏΠ°ΡΠΎΠ»Ρ, Π·Π°ΠΏΡΡΡΠΈΡΡ ΠΊΠΎΠ΄/ΠΠ, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡΠ΅ ΡΡΠΎΠ³ΠΎ - ΡΡΠΎ ΠΌΠΎΡΠ΅Π½Π½ΠΈΠΊΠΈ. ΠΠ±ΡΠ·Π°ΡΠ΅Π»ΡΠ½ΠΎ ΠΆΠΌΠΈΡΠ΅ "ΠΠΎΠΆΠ°Π»ΠΎΠ²Π°ΡΡΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡΠΈΡΠ΅ Π² ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠΊΡ. ΠΠΎΠ΄ΡΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β