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9 месяцев назад

Staff Applied AI Engineer

Формат работы
remote (Global)
Тип работы
fulltime
Грейд
lead
Английский
b2
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Staff Applied AI Engineer (AI): Leading the technical direction of AI agents, shaping how LLMs turn natural language into production-ready applications. Focus on maintaining context across codebases and orchestrating multi-step workflows.

Location: Remote; applicants do not need to be located in the U.S.

Company

hirify.global by StackBlitz builds AI-powered development tools for creating, editing, and deploying full-stack web and mobile applications in the browser.

What you will do

  • Define the technical architecture for AI agents that manage context, orchestrate workflows, and generate production-ready applications.
  • Develop a multi-model strategy across OpenAI, Anthropic, and Google, including evaluations and provider capability testing.
  • Design reliable tool-use interfaces and workflow foundations for search, queries, and domain actions.
  • Establish organizational best practices for agent frameworks and AI engineering.
  • Own dataset methodology, evaluation harnesses, and measurable improvement based on failure modes and conversation insights.
  • Drive cross-team execution, resolve product and technical trade-offs, mentor engineers, and experiment with prompting, context handling, and post-training.

Requirements

  • Production experience building and scaling LLM systems, with a strong understanding of model capabilities, limitations, and emergent behavior.
  • Experience establishing prompt-engineering practices across models and use cases.
  • Strong software-engineering fundamentals and experience designing scalable systems.
  • Ability to lead ambiguous, high-scope initiatives and influence multiple teams.
  • Experience with data collection, evaluation harnesses, model trade-offs, and the AI agent lifecycle.
  • Strong verbal and written English communication skills are required.

Nice to have

  • Experience with fine-tuning and alignment methods such as SFT, RLHF/RLAIF, DPO, or ORPO.
  • Machine-learning fundamentals and model evaluation metrics experience.
  • Open-source AI/ML contributions or maintenance experience.
  • Research experience implementing techniques from AI/ML papers.
  • Conference speaking, technical publishing, or industry representation experience.

Culture & Benefits

  • Fully remote, globally distributed, and collaborative working environment.
  • Work on AI tools used by more than one million developers each month.
  • No college degree is required to apply.
  • Applicants do not need to meet every listed qualification.

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