AI Engineer

Figure

. Improve AI-powered chat and voice services supporting customer-service and lending workflows .

Posted 10/8/2026full-timeRemote • United StatesJuniorMid-Level💰 $80,000 - $120,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates strong programming fundamentals with practical Python experience, SQL proficiency, and the ability to build APIs and data pipelines. Capable of collaborating with both technical and non-technical stakeholders while ensuring compliance and security in AI-powered systems.

Highest-signal resume keywords

Python ProgrammingSQL ProficiencyAPI DevelopmentData Pipeline ConstructionConversational AI Evaluation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Python ProgrammingSQLAPI DevelopmentData Pipeline ConstructionAutomated TestingWorkflow LogicExperimental DesignStatisticsCausal InferenceModel Evaluation

Soft Skills

Strong Written CommunicationAttention to DetailProblem-SolvingCollaboration

Tools & Technologies

CI/CDDockerCloud PlatformsAnalytics PlatformsBusiness-Intelligence Tools

Industry Keywords

FintechLendingHealthcareRegulated EnvironmentCustomer Support Systems

Tech Stack

Tools & technologies

CloudDockerPythonSQLTypeScript

About the role

Key responsibilities & impact

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
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
Design controlled experiments and incremental rollouts that measure business outcomes
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 and apply Figure's deployment, monitoring, containerization, and CI/CD practices
Gradually own increasingly substantial production engineering projects
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
Within the first six months, understand Figure's conversational AI workflows and integrations, strengthen testing/monitoring/security/release discipline, resolve workflow reliability issues, produce performance reporting, ship at least one production integration/service/internal tool, and demonstrate increasing independence across Python, APIs, data, evaluation, and deployment
Over time, shift toward broader full-stack AI engineering as conversational systems become better governed and operational responsibilities become more distributed

Requirements

What you’ll need

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
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
A degree or research background in economics, computer science, statistics, engineering, or another quantitative discipline is a nice-to-have
Graduate training involving empirical research and substantial programming is a nice-to-have
Experience with TypeScript or a modern frontend framework is a nice-to-have
Familiarity with cloud platforms, Docker, CI/CD, or infrastructure as code is a nice-to-have
Experience with experimentation systems, analytics platforms, or business-intelligence tools is a nice-to-have
Experience in lending, fintech, healthcare, or another regulated environment is a nice-to-have
Experience with customer-support or contact-center systems is a nice-to-have
A PhD is welcome but not required
Candidates must verify identity and eligibility to work in the United States
Figure will not sponsor work visas for this position

Benefits

Comp & perks

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