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19 часов назад

AI/ML Engineer II

134 961 - 188 945$
Формат работы
onsite
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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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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