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обновлено 23 дня назад

Sr. Software Engineer (AI)

160 000 - 215 000$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US

Описание вакансии

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TL;DR

Sr. Software Engineer (AI): Building a new AI agent product for enterprise customers, applying large language models and multi-cloud engineering with an accent on automating complex workflows. Focus on designing systems, writing production code, and making foundational technical decisions to deliver scalable and impactful AI solutions.

Location: Remote (US)

Salary: $160,000-$215,000

Company

hirify.global delivers unified storage, integrated data services, and solutions that help organizations unlock the full potential of their data, from AI to multicloud.

What you will do

  • Design and build AI agent systems that reason about complex enterprise environments and integrate with external tools.
  • Develop backend services, APIs, and orchestration layers that power agent execution and multi-cloud operations.
  • Build developer-facing surfaces including APIs, SDKs, and tooling.
  • Own end-to-end delivery of features from design through production, including testing and deployment.
  • Make foundational design decisions for data models, API contracts, and service boundaries.
  • Collaborate with team members to integrate systems and ensure high-quality deliverables.

Requirements

  • 8+ years of industry experience in software development.
  • 3+ years of experience in building and operating cloud-native, fault-tolerant, highly scalable architectures.
  • Experience in server-side languages and frameworks (e.g., Node.js, Python, Java, Golang, or Rust).
  • Proven ability to develop RESTful APIs or microservices and integrate with databases (SQL and/or NoSQL).
  • Experience building and maintaining CI/CD pipelines and infrastructure.
  • Understanding of security best practices, including authentication/authorization and encryption.

Nice to have

  • Experience with LLM integration, AI agent frameworks.
  • Familiarity with agentic design patterns: tool-use protocols, context management, and multi-step reasoning.
  • Experience with cloud platforms (AWS, Azure, GCP) and containerization tools such as Docker and Kubernetes.
  • Experience with enterprise cloud infrastructure, data management, or storage systems.

Culture & Benefits

  • Hybrid working environment designed to strengthen connection, collaboration, and culture.
  • Comprehensive benefits package including Health Insurance, Life Insurance, and Retirement or Pension Plans.
  • Paid Time Off and various Leave options.
  • Performance-Based Incentives, employee stock purchase plan, and/or restricted stocks (RSU’s).