AI Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Enhance AI-driven chat and voice services that facilitate customer service and lending operations.

• Develop and manage agent workflows, API-integrated tools, guidelines, retrieval rules, and escalation processes.

• Evaluate workflows for logical errors, unsafe actions, routing issues, and unnecessary model context.

• Implement structured development, staging, testing, review, and production-release methodologies.

• Collaborate with domain experts responsible for customer experience, policies, and lending processes.

• Assess whether issues are best addressed through workflow logic, deterministic coding, retrieval, an LLM, or product modifications.

• Create automated tests and simulations for conversational workflows.

• Establish and track metrics for containment, escalation, answer quality, task completion, and customer impact.

• Develop tagging, monitoring, and quality assurance systems for live conversations.

• Investigate failures and translate production data into prioritized enhancements.

• Construct pipelines that provide conversational data for analytics and reporting systems.

• Design controlled experiments and gradual rollouts to evaluate business impact.

• Develop Python services and APIs that reveal AI functionalities.

• Facilitate integrations between AI systems and Figure's internal services.

• Create data and evaluation pipelines utilizing Python and SQL.

• Contribute to internal tools and user interfaces.

• Acquire and implement Figure's deployment, monitoring, containerization, and CI/CD practices.

• Gradually take ownership of increasingly significant production engineering projects.

• Inventory and assess conversational tools that interface with internal or third-party APIs.

• Ensure that sensitive operations utilize deterministic validation rather than unreliable model judgment.

• Support the appropriate management of customer data, credentials, PII, and regulated workflows.

• Maintain audit trails for workflow modifications and production behavior.

• Raise security, compliance, and reliability issues using sound technical reasoning.

• Within the first six months, gain a thorough understanding of Figure's conversational AI workflows and integrations, enhance testing/monitoring/security/release disciplines, resolve workflow reliability challenges, produce performance reports, launch at least one production integration/service/internal tool, and demonstrate increasing autonomy in Python, APIs, data, evaluation, and deployment.

• Over time, transition towards broader full-stack AI engineering as conversational systems achieve better governance and operational responsibilities become more distributed.

⛳️ Requirements

• Strong programming fundamentals and practical experience with Python.

• Familiarity with SQL and structured data analysis.

• Ability to decompose ambiguous problems into testable components.

• Comfort in reading unfamiliar code and tracing system behavior.

• Excellent written communication skills and attention to detail.

• Interest in AI behavior, analytics, backend systems, and product workflows.

• A habit of validating assumptions and measuring results.

• Ability to collaborate with both engineers and non-technical domain experts.

• Aspiration to evolve into a full-stack production AI engineer.

• Experience in developing an API, backend service, automation, data pipeline, or internal tool.

• Experience in evaluating LLMs, conversational agents, or other probabilistic systems.

• Knowledge of experimental design, statistics, causal inference, or applied econometrics.

• Experience in testing nondeterministic systems.

• Familiarity with retrieval-augmented generation, agent tools, workflow engines, or model evaluation.

• Ability to differentiate between problems that require deterministic logic and those suited for an LLM.

• Experience in translating domain or policy requirements into software functionality.

• A degree or research background in economics, computer science, statistics, engineering, or another quantitative discipline is preferred.

• Graduate training with a focus on empirical research and significant programming is a plus.

• Experience with TypeScript or a modern frontend framework is a plus.

• Familiarity with cloud platforms, Docker, CI/CD, or infrastructure as code is a plus.

• Experience with experimentation systems, analytics platforms, or business intelligence tools is a plus.

• Experience in lending, fintech, healthcare, or another regulated environment is a plus.

• Experience with customer support or contact center systems is a plus.

• A PhD is welcome but not mandatory.

• Candidates must verify their identity and eligibility to work in the United States.

• Figure will not sponsor work visas for this position.

🏝️ Benefits

• 25% annual bonus target, distributed quarterly.

• Company equity in the form of RSUs.

• Comprehensive medical, dental, and vision insurance, 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 a PTO plan.

• Up to 12 weeks of paid family leave.

• Continuing education reimbursement.