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Зарплата не указанаПередовые технологииПродуктовая компанияЧетко определенная роль
Оценка от Hirify AI
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Текст:
Hirify AI/Оригинал
TL;DR
Senior Applied AI Engineer (AI agents/LLMs): Building and improving production coding agents that generate and modify full-stack applications with an accent on context compression, model routing, evaluation, and reliable tool use. Focus on orchestrating long-running multi-step workflows, maintaining context across large codebases, benchmarking LLM providers, and analyzing agent failure modes.
Location: Remote; U.S. location is not required
Company
hirify.global by StackBlitz provides an AI-powered app builder for creating, editing, and deploying full-stack web and mobile applications in the browser.
What you will do
Build and ship production coding agents for long-running workflows, context compression, agent loops, and model routing.
Own agent capabilities across planning, tool use, code generation and editing, and context maintenance across large codebases and multi-turn sessions.
Integrate and evaluate OpenAI, Anthropic, and Google LLM providers by benchmarking quality, cost, and latency.
Design safe, reliable tool-use workflows with structured actions, guardrails, and production observability using technologies such as Vercel AI SDK and LangGraph.
Build evaluation harnesses and datasets, analyze agent failure modes and user feedback, and improve quality and reliability.
Partner with product, design, engineering, and data teams while mentoring other engineers.
Requirements
Production experience shipping LLM agents used by thousands of users.
Deep understanding of prompt engineering and the ability to optimize prompts for different tasks and models.
Strong software engineering fundamentals and experience building production-ready systems.
Ability to work autonomously, own projects end-to-end, and solve ambiguous technical problems.
Experience collecting, curating, and analyzing data to improve agent behavior.
Strong verbal and written English communication skills are required.
Nice to have
Machine learning fundamentals and experience with model evaluation metrics.
Contributions to or maintenance of open-source AI/ML projects.
Experience reading and implementing techniques from AI/ML research papers.
Culture & Benefits
Fully remote, globally distributed team.
Direct collaboration with product, design, engineering, and data.
Work on AI features used by millions of people building real products.
A college degree is not required.
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