Назад
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20 часов назад

Sr. SW Engineer (Full Stack) (AI)

112 100 - 173 400$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Sr. SW Engineer (Full Stack) (AI) (Java/React/Node.js): Building secure, scalable full-stack applications and production agentic AI services with an accent on REST APIs, microservices, LLM integrations, and AI-assisted engineering. Focus on designing multi-step agents and RAG pipelines, securing and testing enterprise platforms, and improving reliability, observability, cost, and latency.

Location: US - Austin, TX; hybrid schedule with at least 3 days in the office. Travel required 5–10% of the time.

Salary: $112,100–$173,400 USD per year; the role may also include bonus, equity, and potential sales incentive payments.

Company

Global payments technology company supporting transactions between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories.

What you will do

  • Design, develop, and maintain full-stack features using React, JavaScript, TypeScript, Java, Spring Boot, and Node.js from requirements through production.
  • Build and ship agentic AI solutions including LLM-backed services, tool-calling and multi-step agents, MCP servers and clients, RAG pipelines, prompt and context engineering, evaluation harnesses, and safety, cost, and latency guardrails.
  • Design, build, and consume secure REST APIs and microservices for internal teams and external developer clients.
  • Participate in system architecture, estimation, technical documentation, debugging, observability, code reviews, and production support.
  • Create unit, integration, automation, and AI evaluation tests; troubleshoot defects and deploy fixes during on-call rotations.
  • Mentor junior engineers, collaborate with product, design, data science, QA, operations, and compliance stakeholders, and promote responsible AI-first engineering practices.

Requirements

  • At least 2 years of relevant work experience and a Bachelor’s degree, or at least 5 years of relevant work experience.
  • Hands-on professional experience building full-stack applications with Java and JavaScript, including React, Spring Boot, Node.js, relational databases such as MySQL or Postgres, and Linux.
  • Hands-on experience building and shipping agentic AI solutions, including LLM APIs, tool or function calling, agent frameworks, or MCP-based integrations, with examples that can be explained in detail.
  • Experience designing, building, and testing enterprise-scale web services and REST APIs.
  • Ability to work across development, QA, automation testing, and production support functions and adapt to changing project and business needs.

Nice to have

  • Three or more years of experience with a Bachelor’s degree, or more than two years with an advanced degree; experience in a related technology field, including at least four years where applicable.
  • At least three years developing web-based or mobile applications and at least two years working on client-facing or developer-facing platforms, APIs, or technical teams.
  • Advanced front-end experience with React and TypeScript, state management, component design systems, performance optimization, and accessibility.
  • Advanced back-end experience with Spring Boot microservices, Spring Security, JPA/Hibernate, asynchronous and event-driven patterns, caching, and API versioning.
  • Production experience with multi-step and multi-agent orchestration, MCP, RAG, vector stores, embeddings, prompt and context engineering, structured output, streaming, AI evaluation, observability, tracing, and controls for cost, latency, hallucinations, and prompt injection.
  • Experience with Generative AI and AI-assisted engineering tools, microservices, Kubernetes, Docker, cloud-native architectures, CI/CD, system design, debugging, code review, test automation, and production support.
  • Experience with API security, including OAuth 2.0, OIDC, mutual TLS, API keys, token lifecycle, rate limiting, and secure secret handling.
  • Experience with Agile development, scalable and highly available systems, payments, fintech, or other regulated domains.
  • Strong collaboration, facilitation, communication, planning, organization, execution, root-cause analysis, prioritization, and independent work skills; ability to document technical, implementation, and operational concepts.
  • Experience mentoring junior engineers, performing code reviews, integrating feedback into designs and fixes, and collaborating with cross-functional teams.

Culture & Benefits

  • Office-based hybrid work with at least 3 days in the office, with work hours varying according to department needs.
  • Medical, dental, vision, 401(k), FSA/HSA, life insurance, paid time off, and wellness program may be available.
  • Work focuses on secure, scalable, reliable, observable, and high-performance technology solutions in a regulated payments environment.
  • Training resources are available to support continuous skill development, particularly in emerging AI technologies.

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