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Зарплата не указанаАктуальный AI-стекПонятные задачиФинансовые технологии
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Текст:
Hirify AI/Оригинал
TL;DR
Senior Software Engineer I (AI): Building full-stack personal financial management products, embeddable React widgets, backend services, and LLM-powered features for financial data with an accent on React/TypeScript, APIs, and privacy-aware applied AI. Focus on designing retrieval and tool-calling workflows, applying security guardrails to sensitive financial data, modernizing platform services, and operating scalable customer-facing systems.
Location: Lehi, Utah, United States
Company
hirify.global builds financial technology that helps banks, credit unions, and fintechs deliver intuitive financial experiences at scale.
What you will do
Build and operate full-stack features across embeddable React widgets, shared TypeScript libraries, backend APIs, and services.
Develop personal financial management products including dashboards, budgeting and spending widgets, cash-flow tools, and personalized insights.
Design and ship LLM-powered features such as financial-data explanations and assistants, including prompt and context design, retrieval, tool calling, evaluation, and production monitoring.
Apply privacy and security controls for sensitive financial data, including data minimization, PII redaction, access scoping, output validation, and audit logging.
Modernize the platform by migrating from a legacy Ruby on Rails API and older front ends to TypeScript services, React, and the current design-system stack.
Participate in architecture and design reviews, code reviews, project delivery, incident triage, testing, observability, and mentoring.
Requirements
Bachelor’s degree or equivalent experience.
5+ years of software development experience and 3+ years testing, maintaining, or launching software products.
Professional full-stack experience with production React and TypeScript plus backend services or APIs in a server-side language such as Ruby or TypeScript on Node.js.
Experience designing and consuming REST, RPC, or message-based APIs, with caching, background jobs, and asynchronous or event-driven systems.
Hands-on experience shipping at least one feature or internal tool built on a large language model API.
Experience building automated unit, integration, contract, or end-to-end tests and operating customer-facing services.
Nice to have
Experience with retrieval-augmented generation, agent or tool-use architectures, MCP, LLM evaluation, guardrails, and production monitoring of model cost, latency, and quality.
Experience with managed model platforms such as Vertex AI, Bedrock, or Azure OpenAI.
Knowledge of Ruby on Rails, Sidekiq, Node.js, Bun, Hono, Elixir/Phoenix, PostgreSQL, Redis, NATS, RabbitMQ, or protobuf-based RPC.
Experience with Kubernetes, Docker, CI/CD, Datadog, OpenTelemetry, or shared component libraries and design systems.
Fintech, banking, or other regulated-data domain experience.
Culture & Benefits
Work in an environment emphasizing curiosity, accountability, ownership, innovation, and measurable impact.
Collaborate with Product Managers, Security, Compliance, and engineering stakeholders.
Contribute to AI-assisted development workflows and help improve how engineering teams use and verify AI-generated output.
Participate in a diverse and inclusive workplace committed to equal opportunity and reasonable accommodations.
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