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7 часов назад

Senior Software Engineer (AI, AWS & Python)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
UK/Singapore/US +6 еще
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Senior Software Engineer (AI, AWS & Python) (AI platform services): Building secure, scalable ML and LLM-based services, microservices, reusable libraries, and frameworks for Diligent’s customer-facing products with an accent on production-ready AI delivery, privacy, security, and observability. Focus on designing shared AWS infrastructure, operationalizing AI systems, improving evaluation and governance, and solving performance, reliability, and cost-efficiency challenges.

Location: Budapest, Hungary; hybrid work model with onsite work at least 50% of the time for employees within commuting distance of a hirify.global office.

Company

hirify.global provides AI-powered governance, risk, and compliance SaaS solutions through its hirify.global One Platform.

What you will do

  • Design, develop, deploy, monitor, scale, and troubleshoot ML- and LLM-based systems powering shared AI services.
  • Build secure, high-performance AWS microservices and platform components, owning them from implementation through production monitoring.
  • Collaborate with Applied Scientists, Product teams, and Software Engineers to productize AI capabilities.
  • Develop reusable AI libraries, frameworks, internal tooling, and platform infrastructure for multiple teams.
  • Evaluate and pilot AI tools to improve performance, cost efficiency, and developer productivity.
  • Build privacy, security, observability, compliance, and governance into AI systems handling sensitive customer content.

Requirements

  • 5+ years of experience delivering secure, scalable applications in agile environments.
  • Strong software design, coding, testing, and maintainability practices.
  • Hands-on experience with Python and Node.js/TypeScript on a major cloud platform, including microservices or serverless patterns, infrastructure as code, CI/CD, containers, and observability.
  • Experience building and operating backend services or microservices in a major cloud environment, preferably AWS.
  • Experience with the lifecycle of AI solutions and practical work with LLM-based systems or adjacent AI technologies.
  • Strong security practices, including IAM, secrets management, privacy controls, communication, and technical leadership.

Nice to have

  • Hands-on experience with AWS CDK.
  • Experience with prompt engineering, fine-tuning, model evaluation, RAG, agentic solutions, or MCP servers.
  • Experience developing AI evaluation, observability, or governance mechanisms for production systems.
  • Experience shaping shared platform capabilities, improving cloud AI performance and reliability, or mentoring peers.

Culture & Benefits

  • Flexible work environment with a hybrid model for employees near hirify.global offices.
  • Comprehensive health benefits, generous time off, wellness programs, and meeting-free days.
  • Global days of service and support for diversity through Employee Resource Groups and educational resources.
  • International office hubs include New York City, Washington D.C., Vancouver, London, Galway, Budapest, Munich, Bengaluru, Singapore, and Sydney.

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