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1 день назад

AI / LLM Platform Engineer

108 497 - 149 183$
Формат работы
hybrid
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 / LLM Platform Engineer (LLM platforms and enterprise AI): Building and operating LLM gateways, model routing, workflow orchestration, and enterprise integrations with an accent on reliability, cost optimization, scalability, and output quality. Focus on integrating AI agents and emerging LLM providers, validating platform performance under load, maintaining SLOs, and supporting CMMC and FIPS compliance.

Location: Lone Tree, Colorado, United States; hybrid environment with occasional travel to testing sites, customer locations, or conferences up to 10–20%

Estimated starting salary: $108,496.89–$149,183.22 per year

Company

hirify.global develops aerospace and national-security technologies and solutions.

What you will do

  • Design, implement, and optimize LLM gateway, model-routing, and workflow-orchestration platform services.
  • Integrate LLMs and AI agents with enterprise systems, data sources, APIs, and existing software platforms.
  • Test and validate platform performance under production-like loads, improving reliability, cost efficiency, and scalability.
  • Implement prompt management, versioning, and evaluation frameworks to maintain AI output quality.
  • Monitor model performance, usage, and costs; optimize routing logic and maintain platform SLOs.
  • Collaborate with Forward Deployed AI specialists, software developers, and platform architects while documenting technical designs and supporting compliance.

Requirements

  • Bachelor’s degree in computer science, mathematics, applied statistics, engineering, or a related STEM field, plus 2+ years of related experience; relevant experience may substitute under the stated conditions.
  • Practical experience building and operating APIs at scale in AWS, Azure, or GCP.
  • Hands-on experience integrating at least one major LLM provider and deploying software services to production.
  • Proficiency in Python and at least one additional programming language; TypeScript or Go preferred.
  • Familiarity with Docker, Kubernetes, and GitOps workflows.
  • Must be a U.S. citizen, lawful permanent resident, protected individual, or eligible to obtain the required U.S. government authorizations.

Nice to have

  • Experience with generative AI models, transformer-based LLM architectures, LangChain, or LlamaIndex.
  • Experience with prompt engineering, evaluation frameworks, MLflow, or similar experiment-tracking tools.
  • Knowledge of Agile, DevOps, FinOps, CMMC, or FedRAMP practices.

Culture & Benefits

  • Mission-focused work supporting aerospace and national-security objectives.
  • Medical, dental, and vision insurance.
  • 401(k) with a 150% match up to 6%.
  • Life insurance and three weeks of paid time off.
  • Tuition reimbursement.

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