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3 дня назад

Senior AI Engineer

Формат работы
hybrid
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

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TL;DR
Senior AI Engineer (Python/LLM): Building and deploying AI-enabled services with an accent on retrieval-augmented pipelines, agentic workflows, and scalable APIs. Focus on designing multi-agent architectures, integrating cloud AI platforms and vector databases, and operating observable microservices in a hybrid onsite environment.

Location: Manassas, Virginia; hybrid with 4 days onsite. The role may also be based in Virginia or New Jersey.

Company

hirify.global is hiring for a contract-to-hire opportunity supporting AI technology development.

What you will do

  • Develop and deploy AI-enabled features and robust services.
  • Build retrieval-augmented pipelines and operate agentic workflows.
  • Design and support scalable microservices and APIs that expose AI capabilities.
  • Apply large language models and multi-agent architectures to production systems.
  • Integrate cloud AI platforms, vector databases, search algorithms, and observability tools.
  • Collaborate with technical and business stakeholders and support deployed solutions.

Requirements

  • At least 2–3 years of recent agentic AI experience.
  • At least 5 years of software engineering experience, including at least 3 years focused on AI/LLM system development.
  • Extensive Python experience and modern development practices including testing, linting, typing, and CI/CD.
  • Hands-on experience with LLMs, multi-agent architectures, and scalable microservices and APIs.
  • Familiarity with Azure AI, GCP Vertex, AWS Bedrock, vector databases, search algorithms, Datadog, and LangSmith.
  • Willingness to work hybrid with 4 days onsite in Virginia or New Jersey and travel approximately 5–10%.

Nice to have

  • Knowledge of knowledge graphs, Neo4j, Cypher, NLP model training, or fine-tuning.
  • Experience with Cursor, Claude Code, or GitHub Copilot.
  • Understanding of AI guardrails, responsible AI, security, and access control.
  • Familiarity with A2A and MCP multi-agent systems.
  • Bachelor’s degree in a related field or equivalent professional experience.

Culture & Benefits

  • Six-month contract with the possibility of direct hire.
  • Collaborative environment involving technical and business teams.
  • Opportunity to work on advanced AI-enabled features and agentic AI solutions.

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