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Зарплата не указанаСильный акцент на ИИПродуктовая компанияУдаленная работа
Оценка от Hirify AI
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Текст:
Hirify AI/Оригинал
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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