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11 часов назад

AI Software Engineer

120 000 - 160 000$
Формат работы
remote (только USA)
Тип работы
fulltime
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 Software Engineer (GenAI/LLMs): Building production-ready AI-driven features, intelligent agents, APIs, and microservices for legal operations with an accent on GenAI, MCP servers, agentic frameworks, and RAG. Focus on modernizing legacy automations, optimizing model interactions through prompt engineering, and engineering secure, scalable, and cost-efficient AI services.

Location: Remote in the United States; listed location is Overland Park, Kansas. Must be authorized to work in the United States for any employer.

Salary: $120,000–$160,000 annually, with potential eligibility for an annual bonus.

Company

hirify.global provides technology-enabled services supporting complex global legal operations.

What you will do

  • Design, develop, and deploy AI-driven features and intelligent agents for real-world legal operations use cases.
  • Integrate GenAI and large language models into applications through APIs and microservices.
  • Modernize legacy automations using MCP servers, agentic frameworks, and hyper-automation approaches.
  • Collaborate with product owners, architects, and engineers to move prototypes into scalable production systems.
  • Build reusable, secure, performant, and cost-efficient components and services.
  • Document architectures and best practices, integrate external products, and evaluate emerging AI tools and methodologies.

Requirements

  • Hands-on experience with GenAI, model training, evaluation, and hyperparameter tuning.
  • Experience with MCP servers, agentic frameworks, and Retrieval-Augmented Generation.
  • Strong programming skills in Python, C#, .NET/ASP.NET, Java, or similar languages.
  • Experience with Azure or AWS, AI services, API development, microservices, and CI/CD pipelines.
  • Knowledge of Docker, Kubernetes, MLflow, and Azure DevOps.
  • Bachelor’s degree in Computer Science or a related field, or equivalent experience, plus strong communication skills.

Culture & Benefits

  • Values-driven environment focused on integrity, collaboration, service, and operational excellence.
  • Enterprise-wide learning and internal mobility opportunities.
  • Flexible work practices supporting life beyond work.
  • Benefits package details are provided during the initial screening process.

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