AI Engineer

Job not on LinkedIn

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $80k - $120k / year

⏰ Full Time

🟢 Junior

🟡 Mid-level

🤖 AI Engineer

🚫👨‍🎓 No degree required

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

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Figure

WebsiteLinkedInAll Job Openings

501 - 1000 employees

💸 Finance

💳 Fintech

🏦 Banking

Finance • Fintech • Banking

Figure is transforming the trillion-dollar financial services industry using blockchain technology. Founded in 2018 by technology entrepreneur Mike Cagney, Figure has established itself as a groundbreaking player in the fintech space with a focus on home equity products, consumer lending, and asset management. Leveraging the Provenance Blockchain, Figure delivers innovative solutions for loan origination, equity management, and financial transactions, aiming to provide speed, efficiency, and savings for both consumers and institutions. It stands out as one of the few unicorns in the financial technology sector.

📋 Description

• 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

• 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

• 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