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5 дней назад

Software Engineer - AI Tooling (AI)

175 000 - 225 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
middle
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
Software Engineer - AI Tooling (AI): Building agent harnesses, developer workspaces, context delivery systems, and shared tooling for AI-powered engineering workflows with an accent on developer experience, security, reliability, and observability. Focus on designing MCP server infrastructure, integrating AI agents with internal services, and developing evaluation and benchmarking tools for production-critical systems.

Location: Chicago, United States

Base salary: $175,000–$225,000 USD per year, plus discretionary bonus and benefits.

Company

hirify.global is a research-driven trading firm using quantitative modeling, machine learning, engineering, proprietary technology, and capital to operate across global markets.

What you will do

  • Partner with engineering teams to understand workflows, define needs, and shape solutions aligned with broader priorities.
  • Own software projects from problem definition and technical design through implementation, rollout, and continuous improvement.
  • Develop agent harnesses and workspace capabilities that integrate AI coding tools into engineering workflows.
  • Improve context delivery from internal systems and build tooling for MCP servers, including authentication patterns, reusable components, and project templates.
  • Contribute to in-house agents, evaluation and benchmarking tools, and integrations with internal services.
  • Build security, reliability, and observability into software while supporting adoption and improving developer experience.

Requirements

  • 3+ years of work experience in a relevant role.
  • Bachelor’s degree in Computer Engineering, Computer Science, or equivalent.
  • Strong programming experience in a high-level language; Python or Java preferred.
  • Experience building developer-facing tools, APIs, or production systems.
  • Understanding of security principles, authentication and authorization patterns, and secrets management.
  • Familiarity with containerization technologies such as Docker and Kubernetes.
  • Curiosity and eagerness to learn AI/LLM application patterns.
  • Strong communication skills and the ability to work directly with stakeholders.
  • Ability to take ownership of open-ended problems and carry solutions through delivery in a fast, collaborative environment.

Nice to have

  • Prior experience building AI tooling.
  • Exposure to agentic AI tools and workflows, including coding agents or MCP servers.

Culture & Benefits

  • Full-time, permanent employment with eligibility for a discretionary bonus.
  • Paid leave and insurance benefits.
  • Collaborative work with global Development Platform colleagues.
  • Substantial ownership across design, implementation, delivery, and ongoing improvement.

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