Associate AI Engineer

Figure is transforming capital markets through blockchain and AI-driven automation for lending and consumer finance. The Associate AI Engineer will operate and improve production conversational AI systems while developing Python services, APIs, data pipelines, evaluations, internal tools, and security and governance practices across the broader AI stack.

What you'll do:

• Improve AI-powered chat and voice services supporting customer-service and lending workflows
• Build and maintain agent workflows, API-integrated tools, guardrails, retrieval rules, and escalation paths
• Review workflows for logic errors, unsafe behavior, routing conflicts, and unnecessary model context
• Establish disciplined development, staging, testing, review, and production-release practices
• Partner with domain experts who own customer experience, policies, and lending operations
• Translate business knowledge into reliable system behavior without becoming the sole owner of that knowledge
• Determine whether problems are best solved through workflow logic, deterministic code, retrieval, an LLM, or a product change
• Build automated tests and simulations for conversational workflows
• Define and measure containment, escalation, answer quality, task completion, and customer-impact metrics
• Develop tagging, monitoring, and quality-assurance systems for production conversations
• Analyze failures and turn production evidence into prioritized improvements
• Build pipelines that make conversational data available to analytics and reporting systems

What they're looking for:

• Strong programming fundamentals and practical Python experience
• Working knowledge of SQL and structured data analysis
• Ability to break ambiguous problems into testable components
• Comfort reading unfamiliar code and tracing system behavior
• Strong written communication and attention to detail
• Interest in AI behavior, analytics, backend systems, and product workflows
• A habit of validating assumptions and measuring outcomes
• Ability to collaborate with engineers and nontechnical domain experts
• Desire to grow into a full-stack production AI engineer
• Experience building an API, backend service, automation, data pipeline, or internal tool
• Experience evaluating LLMs, conversational agents, or other probabilistic systems
• Knowledge of experimental design, statistics, causal inference, or applied econometrics

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
• 25% annual bonus target, paid quarterly
• Company equity in the form of RSUs