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2 часа назад

Senior Principal Software Engineer (AI)

127 585 - 251 035$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
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
Senior Principal Software Engineer (AI/Full Stack): Building and scaling an intelligent model-based systems engineering platform with an accent on React interfaces, Python and Rust backend APIs, and agentic AI services. Focus on implementing LLM-driven workflows, RAG pipelines, Kubernetes deployment across AWS and Azure, and secure DevSecOps automation.

Location: Remote work allowed 100%; Home, Virginia

Salary: $127,584.65–$251,035.08 annually

Company

hirify.global is a federal government contractor developing engineering and software solutions.

What you will do

  • Build and scale full-stack features for an intelligent model-based systems engineering platform, including React applications, orchestration APIs, and backend microservices.
  • Develop and deploy agentic AI solutions, LLM-driven workflows, RAG services, and autonomous chat agents.
  • Collaborate with product owners, domain experts, and engineers to deliver secure and extensible MBSE solutions.
  • Contribute to system architecture through well-defined interfaces, low coupling, and scalable design.
  • Implement DevSecOps practices, CI/CD pipelines, automated testing, security scanning, and cloud-native deployments.
  • Mentor junior engineers and promote engineering excellence through reviews, design discussions, and knowledge sharing.

Requirements

  • 5+ years of professional software engineering experience, including significant full-stack development.
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
  • Production experience with Python and/or Rust, modern frontend technologies, REST APIs, and microservices.
  • Experience building and scaling agentic AI solutions, LLM agents, and RAG pipelines using LangChain, LlamaIndex, or similar frameworks.
  • Experience with AWS, Azure, Kubernetes, Docker, CI/CD, automated testing, and secure coding practices.
  • Ability to obtain and maintain Secret Clearance.

Nice to have

  • Experience with MBSE tools such as Cameo Systems Modeler and Teamwork Cloud.
  • Knowledge of graph, relational, and blob storage architectures, event-driven workflows, and API-driven platforms.
  • Experience with AI model orchestration, observability, monitoring, and alerting.
  • Familiarity with GPT models, Meta Llama, Claude, embedding models, MCP, SysML, Prometheus, Grafana, and MLflow.

Culture & Benefits

  • Health, life, disability, retirement, and savings benefits may be available depending on the position.
  • Paid time off and holiday pay.
  • Learning and development opportunities and wellness programs.
  • Automated, mature DevSecOps environment supporting cloud-native engineering.

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