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1 день назад

Software Engineering - Principal (AI)

237 700 - 344 700$
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

Текст:
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TL;DR
Software Engineering - Principal (AI): Building and scaling backend applications, robust APIs, and multi-tenant systems across Salesforce and Heroku clouds with an accent on AI-first development, advanced prompt engineering, and production-grade reliability. Focus on designing AI-agent workflows, maintaining system context, evaluating human- and AI-generated code, and solving complex scalability, security, and availability challenges.

Location: Hybrid in San Francisco, California

Salary: $237,700–$344,700 annual base salary in select San Francisco and New York City metropolitan areas; bonus, equity, and benefits are excluded.

Company

hirify.global operates within Salesforce, building trusted CRM and cloud products used by customers across multiple industries.

What you will do

  • Develop backend applications for Salesforce and hirify.global cloud products.
  • Design, implement, and tune robust APIs and API framework features for scalable multi-tenant environments.
  • Handle large cloud datasets and integrate internal and external systems across GCP, AWS, Alibaba, and/or Azure.
  • Build and ship production-grade software using test-driven development, CI/CD, and modern engineering practices.
  • Use AI development tools and advanced prompt engineering to produce secure, optimized, high-quality code.
  • Design AI-agent systems, maintain shared system context, evaluate code quality and security, and participate in on-call support.

Requirements

  • Related technical degree.
  • 10+ years of backend software development experience.
  • Deep knowledge of object-oriented programming languages including Java, C++, Go, C#, Ruby, Scala, Python, Node.js, or JavaScript.
  • Broad knowledge of API-related web standards including REST, SOAP, XML, WSDL, HTTP, and JSON.
  • Experience with Spring, gRPC, REST, and HTTP.
  • Experience with Agile development methodology.
  • Demonstrated AI-first engineering approach and experience using AI tools such as Claude Code, GitHub Copilot, Codex, Cursor, or equivalent in development workflows.
  • Advanced prompt engineering skills, including writing precise structured prompts and maintaining system context for reliable, secure, production-ready AI outputs.
  • Participation in the team on-call rotation to resolve complex issues and maintain highly available services.

Nice to have

  • For Big Data roles: experience with Phoenix, HBase, MapReduce, Yarn, Kafka, Spark, Hive, Presto, or equivalent large-scale distributed systems on a modern containerized deployment stack.

Culture & Benefits

  • Hybrid work model with autonomous teams and collaborative engineering practices.
  • Opportunities to build high-impact features while maintaining product stability and scalability.
  • Time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and employee stock purchasing program.
  • Employment consideration follows applicable San Francisco and Los Angeles fair-chance hiring ordinances.

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