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8 дней назад

Senior GenAI & Data Engineer

85 000 - 110 000$
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 GenAI & Data Engineer (Generative AI/AWS): Developing AI-enabled solutions, AI agents, RAG applications, scalable data pipelines, and cloud-native integrations for a large-scale financial services environment with an accent on LLM development, AWS services, and enterprise data platforms. Focus on designing serverless, containerized, and event-driven workloads, connecting systems through REST APIs, and translating business requirements into reliable technical implementations.

Location: Reston, Virginia, United States; hybrid with an onsite expectation of 3–5 days per week

Salary: $85,000–$110,000 per year

Company

hirify.global delivers outsourced services and workforce solutions across North America, including support for large-scale enterprise and financial services environments.

What you will do

  • Develop and integrate AI-enabled solutions, AI agents, and Retrieval Augmented Generation applications.
  • Create scalable data pipelines, workflows, data models, and processing solutions for large-scale data.
  • Implement AI capabilities across enterprise applications, data platforms, and business systems.
  • Use Amazon Bedrock, AWS Lambda, AWS Glue, and AWS Step Functions to build cloud-native solutions.
  • Design and maintain serverless, containerized, and event-driven workloads.
  • Connect applications, AI services, data platforms, and enterprise systems through REST APIs and integration techniques.

Requirements

  • 5+ years of experience with Generative AI, LLMs, AI agents, and enterprise AI solutions.
  • Experience implementing RAG solutions and working with Amazon Bedrock.
  • Advanced Python and PySpark skills for data processing, analytics, automation, and AI application development.
  • Strong data engineering experience, including data pipelines, data models, and large-scale data processing.
  • Experience with AWS Lambda, AWS Glue, AWS Step Functions, serverless architectures, containerized workloads, event-driven systems, REST APIs, and system integration.
  • Bachelor’s degree in Computer Science, Data Science, Information Systems, Engineering, or a related field, plus strong communication and collaboration skills.

Nice to have

  • Financial services or other highly regulated enterprise experience.

Culture & Benefits

  • Direct-hire employment with medical, dental, and vision coverage options.
  • Spending accounts, life insurance, and voluntary benefit plans.
  • Participation in a 401(k) plan.
  • Hybrid work model combining onsite and remote work.

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