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8 дней назад

Senior API Engineer (AI)

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

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TL;DR
Senior API Engineer (AI): Developing and maintaining a secure enterprise Semantic Layer for data access, analytics, and AI-enabled federal applications with an accent on Python APIs, AWS data platforms, semantic integration, and governed data access. Focus on implementing LLM, RAG, AI agent, and MCP integrations, integrating enterprise data sources, and enabling semantic search through vector databases and embeddings.

Location: 100% remote within the United States; U.S. citizenship required

Company

hirify.global is hiring for work supporting a federal client and an enterprise Semantic Layer.

What you will do

  • Develop, maintain, and enhance an enterprise Semantic Layer for data access, analytics, and AI-enabled applications.
  • Design and implement secure, scalable APIs and integrate enterprise data sources.
  • Support cloud-based services and AWS-based data platforms.
  • Collaborate with data architects, AI engineers, and business stakeholders to provide reliable, consistent, and governed access to enterprise information.
  • Implement LLM, RAG, AI agent, MCP, and AI evaluation solutions.

Requirements

  • U.S. citizenship and the ability to obtain and maintain a government suitability clearance.
  • Bachelor’s degree in a related field or equivalent experience.
  • 8+ years of experience in data architecture, data engineering, or enterprise data management.
  • Experience developing and maintaining secure APIs within AWS API Gateway.
  • Expertise in data modeling, data integration, metadata management, governance, and AWS-based data platforms.
  • Strong hands-on experience with Python, SQL, APIs, and serverless architectures.
  • Experience implementing LLMs, RAG solutions, AI agents, MCP integrations, and AI evaluation methodologies.
  • Knowledge of vector databases, embeddings, semantic search, and enterprise knowledge retrieval.

Nice to have

  • Experience supporting federal agencies.
  • Experience with vector databases such as pgvector.
  • AWS certification in Data Engineering, Solutions Architecture, Machine Learning, or Generative AI.
  • Experience with Agile, DevSecOps, and CI/CD practices.

Culture & Benefits

  • 100% remote work.
  • Full-time employment supporting a federal client.

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