Senior AI Engineer

• Write production code and implement robust backend software components
• Build reliable asynchronous execution pipelines alongside AI models
• Design deterministic-agentic bridges for predictable, secure, and compliant financial tasks
• Bring machine learning models from research prototypes into stable, highly performant production code
• Collaborate with backend and data engineers to move agentic workflows from prototype to reliable, monitored production systems
• Work across retrieval, memory, and orchestration layers
• Use AI development tools such as Cursor, Claude Code, and Copilot in daily engineering workflows
• Take technical ownership of key parts of the AI ecosystem
• Shape an AI-powered financial platform for business owners, artists, and freelancers

• 5+ years of experience as a senior engineer
• Deep software engineering fundamentals
• Proven hands-on experience designing, writing, and scaling production-grade machine learning and AI systems
• Practical experience with modern LLM tooling and orchestration frameworks
• Practical experience taking agentic systems into production
• Practical experience with semantic search and retrieval architectures
• Experience measuring AI systems in production across quality, cost, and latency
• Experience handling personally identifiable information and sensitive data with LLMs in a regulated environment
• Experience designing and shipping AI systems within strict security, compliance, and audit boundaries
• Strong programming skills in Python
• Experience with asynchronous execution models
• Ability to manage deadlines and end-to-end task ownership while sharing technical context
• Fluent written and spoken English
• Startup experience preferred as a bonus
• Fintech or crypto experience preferred but not required
• Proven track record of shipping live, multi-agent automated workflows to production is a bonus

• 24 days of annual leave
• Dedicated paid sick leave
• Observance of Public Holidays
• Two consecutive 4-day work weeks annually after the first year
• Top-of-the-line hardware
• Home office stipend
• Dedicated learning budget
• Clear, accelerated path toward executive-level leadership
• Openness to remote for the right fit
• Impact and ownership over product and company direction