Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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У роли чёткий фокус на создании production-систем с ИИ, высокой самостоятельностью и долей в компании, но зарплата не указана, а работа в офисе в Алматы подойдёт не всем.
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Зарплата не указанаРабота с ИИПолный циклПомощь с переездом
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Backend Engineer (AI): Building the backend that enables Higgsfield agents to execute creative tasks through orchestration, durable workflows, tool integrations, and secure execution boundaries with an accent on reliability, recovery, and evaluation. Focus on designing multi-step agent execution, investigating failed runs, and improving task completion, latency, and cost in production.
Location: On-site in Almaty, Kazakhstan
Company
hirify.global builds AI-powered systems that turn agent capabilities into completed creative work.
What you will do
Build orchestration for multi-step agent tasks, tool calls, streaming updates, and cancellation.
Implement durable workflows with checkpoints, resumability, retries, and recovery without duplicated actions.
Integrate generation, editing, and external services through clear and validated interfaces.
Enforce permissions, tenant isolation, resource limits, and approval requirements for consequential actions.
Trace failures, create regression cases, and improve task completion, latency, reliability, and cost.
Own the full delivery cycle from investigating user tasks and defining success criteria to shipping, measuring, and improving agent capabilities.
Requirements
Experience taking difficult, ambiguous problems through to production systems and explaining personal decisions, contributions, and results.
Ability to build reliable agent execution using state machines, concurrency, queues, recovery, model APIs, secure tool calls, and repeatable evaluations.
Ability to investigate real user tasks and failed agent runs, use evidence to prioritize automation, and stop workflows that do not help users.
Strong ownership, judgment, adaptability, and willingness to share knowledge and responsibility.
Comfort working with model uncertainty and owning evaluation, recovery, and production reliability.
Nice to have
Experience with production agents, workflow engines, or developer tools.
Experience building high-throughput systems with heavy traffic, large data volumes, or long-running jobs.
Experience with agent context management, memory, subagents, parallel tool calls, sandboxed execution, or scoped authorization.
Experience with multimodal workflows involving images, video, or audio.
Culture & Benefits
Competitive base salary in USD and equity.
Relocation support.
Ownership of systems that convert AI capabilities into completed creative work.
Fast release cycle measured in days rather than quarters.
Hiring process
Recruiter screen covering expectations, logistics, and fit.
Technical interview focused on a difficult system shipped and the candidate's personal decisions and contributions.
Additional technical interview if needed, followed by a product fit interview and offer.
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