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2 дня назад

Senior Data Engineer (AI)

119 514 - 164 899$
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 Data Engineer (AI/AWS): Building and scaling data and AI infrastructure for an enterprise agentic AI platform, including data lake pipelines, observability, and agent-enablement tooling with an accent on reliability, security, scalability, and cost optimization. Focus on designing AWS data platforms, shipping production ML and agentic systems, monitoring distributed AI services, and making architecture decisions across complex enterprise environments.

Location: United States (remote)

Salary: $119,514–$164,899 USD per year

Company

Robots & Pencils is an applied AI engineering firm that builds AI co-workers and enterprise systems for clients across multiple industries, using AWS, user experience, and senior engineering expertise.

What you will do

  • Design, build, deploy, and optimize AWS data and AI/ML systems, including data lake pipelines and observability instrumentation.
  • Scale an observability data platform from a single-agent pilot to an automated end-to-end operations model.
  • Maintain production platforms, monitor drift, debug incidents, and improve reliability, scalability, and cost efficiency.
  • Partner with AWS Professional Services, client engineers, and data teams on platform and business goals.
  • Contribute to architecture decisions, code reviews, design discussions, and engineering standards.
  • Own features end-to-end and support less experienced engineers when appropriate.

Requirements

  • 5+ years of professional software or data engineering experience, including 2+ years building production data platforms or AI/ML systems on AWS.
  • Strong software engineering skills with Python and SQL or similar technologies.
  • AWS Certified Data Engineer – Associate, or a clear near-term path to earning the certification.
  • Hands-on experience with AWS data lakes using S3, Lake Formation, Glue, Athena, Iceberg or Parquet, and streaming with Kinesis or MSK.
  • Experience with distributed and AI-system observability, MLOps, LLMOps, infrastructure as code with AWS CDK, and CI/CD.
  • Knowledge of Amazon Bedrock, RAG, Bedrock Agents, IAM, KMS, data governance, responsible AI, PII handling, and cost optimization.

Nice to have

  • Experience in regulated enterprise environments such as financial services.
  • Additional AWS certifications, including Machine Learning Engineer, Security, or Solutions Architect.
  • Experience with AWS Professional Services, AWS partner delivery teams, Strands Agents, LangGraph, or OpenTelemetry.
  • Open-source contributions or deep familiarity with the OpenTelemetry ecosystem.

Culture & Benefits

  • Ownership-oriented environment focused on shipping production-ready AI systems quickly.
  • Direct collaboration with experienced engineers, AWS Professional Services, and enterprise clients.
  • Paid time off and medical, dental, and vision insurance for eligible employees.
  • 401(k) benefits for eligible employees.
  • Work that combines engineering, creativity, and measurable client impact.

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