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2 дня назад

AI Solutions Engineer (AI/ML)

Формат работы
onsite
Тип работы
fulltime
Грейд
junior/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 Solutions Engineer (AI/ML) (LLMs/RAG): Building and deploying production-grade enterprise AI applications, ML pipelines, and agentic systems for federal civilian clients with an accent on secure, auditable, and scalable AI architecture. Focus on integrating foundation models across AWS and Azure, optimizing inference and system performance, and establishing containerized MLOps infrastructure.

Location: Arlington, VA, US; must be a US citizen and obtain a TS clearance

Company

hirify.global is an 8(a) government contractor providing digital transformation, data management and data science, and systems modernization services for federal civilian clients.

What you will do

  • Design, develop, and deploy scalable AI/ML solutions, including LLM applications, RAG architectures, and agent-based workflows.
  • Build and maintain end-to-end ML pipelines covering data engineering, model development, deployment, monitoring, and retraining.
  • Integrate foundation models and cloud-native AI services across AWS and Azure.
  • Develop secure, auditable, explainable AI systems with governance, traceability, and human-in-the-loop controls.
  • Monitor and optimize AI system accuracy, reliability, and scalability while collaborating with cross-functional teams.
  • Establish containerized AI infrastructure and CI/CD pipelines, document solutions, and provide knowledge transfer.

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.
  • 3+ years of hands-on software engineering or AI/ML experience; exceptional new graduates with strong undergraduate research, hackathon wins, or elite internships may be considered.
  • Strong Python programming skills with knowledge of data structures, algorithms, API integration, and asynchronous programming.
  • Project or professional experience with LLMs, prompt engineering, vector databases such as Pinecone, Milvus, or Qdrant, or agentic frameworks such as LangChain, LlamaIndex, or LangGraph.
  • Familiarity with Kubernetes and containerization tools, including Docker.
  • US citizenship is required; H1B and Green Card holders are not eligible.
  • Ability to obtain a TS clearance is required.

Nice to have

  • Production-grade code or open-source contributions in machine learning or systems engineering.
  • Experience deploying open-weight models with vLLM, TGI, or Ollama and optimizing inference performance.
  • Exposure to distributed data processing frameworks such as Apache Spark or PySpark.
  • Ability to learn rapidly, resolve complex technical ambiguity, and work in a fast-paced government consulting environment.

Culture & Benefits

  • Great work/life balance.
  • Health, dental, and vision insurance, generous PTO, life insurance, short- and long-term disability coverage, and an HSA.
  • 401(k) with company match.
  • Eligibility for performance-based cash bonuses and incentives tied to company growth.
  • Drug-free workplace and Equal Opportunity Employer compliant with ADA regulations as applicable.

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