Associate AI Engineer

What You'll Work On

Conversational AI Systems

• 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

Evaluation and Analytics

• 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
• Design controlled experiments and incremental rollouts that measure business outcomes

Full-Stack AI Engineering

• Build Python services and APIs that expose AI capabilities
• Develop integrations between AI systems and Figure's internal services
• Build data and evaluation pipelines using Python and SQL
• Contribute to internal tools and user interfaces
• Learn Figure's deployment, monitoring, containerization, and CI/CD practices
• Gradually own increasingly substantial production engineering projects

Security and Governance

• Inventory and review conversational tools that access internal or third-party APIs
• Ensure sensitive operations use deterministic validation instead of unreliable model judgment
• Support appropriate handling of customer data, credentials, PII, and regulated workflows
• Maintain auditability for workflow changes and production behavior
• Escalate security, compliance, and reliability concerns using sound technical reasoning

What We're Looking For

Must-Haves

• 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

Strong Signals

• 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
• Experience testing nondeterministic systems
• Familiarity with retrieval-augmented generation, agent tools, workflow engines, or model evaluation
• Ability to distinguish problems requiring deterministic logic from those suited to an LLM
• Experience translating domain or policy requirements into software behavior

Nice-to-Haves

• Degree or research background in economics, computer science, statistics, engineering, or another quantitative discipline
• Graduate training involving empirical research and substantial programming
• Experience with TypeScript or a modern frontend framework
• Familiarity with cloud platforms, Docker, CI/CD, or infrastructure as code
• Experience with experimentation systems, analytics platforms, or business-intelligence tools
• Experience in lending, fintech, healthcare, or another regulated environment
• Experience with customer-support or contact-center systems

Salary

• Base Compensation Range: 80K - 120K annually
• 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