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Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
$135к-189к/год
$140к$160кмедиана$210к
По похожим ролям (49) ~ $160к/год
На СНГ рынке: $3.6к/мес ($2.6к - $4.6к)
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В Company hidden предстоит создавать AI-агентов для реальных производственных процессов в аэрокосмической отрасли: задачи описаны чётко, стек современный, условия выглядят сильными. Но требования к гражданству и статусу в США ограничивают доступ к вакансии.
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Ограничение по статусуСовременный AI-стекПонятные задачиAI в космической отраслиПакет льгот
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
AI/ML Engineer II (AI/ML/Aerospace): Building and operating agentic AI workflows that detect incidents, investigate root causes, and guide engineers to resolution across edge-to-cloud production systems with an accent on multi-agent orchestration, knowledge retrieval, and production reliability. Focus on designing evaluation frameworks, deploying AWS infrastructure as code, and reducing investigation time through trustworthy self-service debugging.
Location: Cupertino, CA, or Greater Seattle Area, United States
Base pay: $134,961.00–$188,945.40 annually for CA and WA applicants; other site ranges may differ.
Company
hirify.global develops reusable, safe, and low-cost space vehicles and systems for the future of spaceflight.
What you will do
Design and build multi-agent systems for incident triage and root cause analysis, coordinated by a central orchestrator.
Build knowledge bases from internal documentation, runbooks, and escalation paths, including ingestion, chunking, retrieval, and relevance evaluation.
Provision and manage AI infrastructure as code with AWS CDK across environments.
Define evaluation frameworks for agent accuracy, hallucination rate, tool-call correctness, latency, and cost.
Partner with platform, operations, software, and domain teams to convert incident patterns into tools, agents, and knowledge content.
Document agent architectures, tool interfaces, guardrails, and operational runbooks.
Requirements
Bachelor’s degree in Computer Science, Electrical Engineering, or a related field.
2+ years of software or ML engineering experience, including production systems.
Hands-on experience building LLM applications with prompt engineering, tool use or function calling, and retrieval-augmented generation.
Experience with AWS services including Lambda, S3, DynamoDB, CloudWatch, and IAM.
Python programming skills and experience building APIs and services.
Experience with infrastructure as code using AWS CDK, CloudFormation, or Terraform.
Familiarity with logs, metrics, traces, alerting, and incident response.
Ability to write clear design documents, interface definitions, and operational documentation.
Applicants must be U.S. citizens or nationals, U.S. permanent residents, or lawfully admitted refugees or asylees.
Nice to have
Experience designing multi-agent orchestration patterns and agent-to-agent communication.
Experience with OpenSearch or other vector and hybrid search systems.
Experience building LLM and agent evaluation harnesses, including offline benchmarks and LLM-as-judge methods.
Culture & Benefits
Safety, collaboration, inclusion, trust, equality, and teamwork are emphasized.
Medical, dental, vision, life insurance, paid parental leave, and short- and long-term disability coverage.
401(k) with company match of up to 5% and an Education Support Program.
Stock options for regular employees working at least 20 hours per week.
Up to four weeks of paid time off per year based on scheduled hours and up to 14 company-paid holidays.
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