What You'll Do

Modeling & Decision Systems

• Design and build AI systems using the right approach for the problem, including generative AI, classical ML, optimization, or deterministic logic
• Work directly on model behavior, evaluation, and decision quality
• Apply first-principles thinking to determine where LLMs provide leverage and where other approaches are better suited

Production AI Services

• Build backend services and APIs that expose model capabilities reliably in production
• Design real-time and batch AI services that integrate into core business workflows
• Own service performance, reliability, and maintainability in production
• Improve evaluation, monitoring, and operational feedback loops for deployed systems

Data & Feature Pipelines

• Build reliable pipelines from on-chain events, warehouse data, and transaction systems
• Design scalable feature and data workflows that support production models and decision systems
• Ensure data quality, lineage, and operational robustness across the lifecycle of AI systems

AI Infrastructure & Platform

• Contribute to shared infrastructure for model and AI service serving
• Improve observability, autoscaling, reliability, and deployment patterns across AI systems
• Help build reusable tooling, patterns, and platform capabilities that make the broader team more effective
• Support infrastructure managed through Terraform, CI/CD pipelines, containerized services, and cloud-native systems

Technical Leadership

• Partner with leadership to translate business priorities into durable technical systems
• Help shape architecture and engineering standards across the team
• Raise the technical bar through sound judgment, strong design, and pragmatic execution
• Contribute as a high-agency technical leader without losing hands-on depth

What We Look For

Must-Haves

• 8+ years of experience building production ML, AI, or data-intensive software systems
• Strong Python skills, with the ability to design clean, maintainable production services
• Strong data skills, including SQL, data modeling, and experience building reliable pipelines
• Experience building and operating real-time serving systems, including APIs, model serving, autoscaling, and production monitoring
• Experience working across multiple layers of the stack, including modeling, data, backend systems, and infrastructure
• Experience with at least one major cloud platform (GCP, AWS, or Azure)
• Experience with containerization and production deployment workflows
• Experience with infrastructure as code (Terraform or similar) and CI/CD systems (GitHub Actions or similar)

Strong Signals

• Deep hands-on experience building production AI or ML systems end to end
• Ability to work directly on model behavior and evaluation, not just surrounding infrastructure
• Strong first-principles thinking and sound technical judgment
• Ability to translate ambiguous business problems into robust technical systems
• Strong business intuition and a pragmatic instinct for choosing the right solution rather than the most fashionable one
• Track record of building reusable systems, patterns, and tooling rather than one-off features
• Experience in regulated environments such as fintech, healthcare, or similar domains

Nice-to-Haves

• Experience with Kubernetes or other container orchestration systems
• Experience with distributed compute frameworks such as Ray or Spark
• Experience building AI or ML platform components such as feature stores, model registries, serving layers, or observability systems
• Experience with LLM systems and orchestration frameworks
• Familiarity with LLM ops, including gateway proxies, token management, and caching
• Background in capital markets, lending, or fintech
• Blockchain or on-chain data experience

Salary

• Base Compensation Range: $176,000.00 - $264,000/yr
• 25% annual bonus target, paid quarterly
• Company equity in the form of RSUs

Benefits

• Comprehensive medical, dental, and vision coverage, with 100% employer-paid premiums for employees and their dependents on select plans
• Company HSA, FSA, Dependent Care FSA, 401(k), and commuter benefits
• Employer-paid life and disability insurance
• 11 observed holidays and PTO plan
• Up to 12 weeks of paid family leave
• Continuing education reimbursement