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Senior AI Engineer with AWS Bedrock

Open 17d posting dated 2 weeks ago

Summary

Builds and deploys AI-powered AIOps solutions using AWS Bedrock and agent-based architectures, focusing on production-grade GenAI systems in cloud environments with Python/TypeScript.

We are seeking a hands-on Senior AI Engineer to build and deploy AIOps solutions using AWS Bedrock and agent-based architectures. This role combines strong engineering capability in Python and TypeScript with real experience implementing GenAI-powered systems in cloud environments. The ideal candidate is comfortable working full-time in the CET timezone and delivering production-ready AI features.

Responsibilities

  • Design and implement AIOps solutions leveraging AWS Bedrock and agent-based architectures
  • Build, deploy and maintain AI services using Python or TypeScript
  • Develop and manage infrastructure using AWS CDK
  • Integrate GenAI capabilities into operational systems including monitoring, automation and incident handling
  • Collaborate with cross-functional teams to deliver production-ready AI features
  • Ensure scalability, reliability and performance of deployed solutions

Requirements

  • 3+ years of hands-on experience in Python or TypeScript
  • Proven experience with AWS Bedrock including AgentCore in real projects
  • Practical experience with AWS CDK for infrastructure-as-code
  • Solid understanding of DevOps practices including CI/CD, deployment and monitoring
  • Proficiency in delivering production-grade solutions rather than prototypes or POCs
  • Background in AIOps or observability platforms
  • Strong communication skills for team collaboration
  • English proficiency at B2 level or higher

Nice to have

  • Background in Generative AI or LLM-based solutions
  • Experience working in distributed or customer-facing teams
  • Familiarity with broader AWS ecosystem including Lambda and ECS

Benefits

CONTINUOUS UPSKILLING, LEARNING & DEVELOPMENT

  • Diversity of tasks and projects
  • Assessment center for objective review of competency level
  • Personal development plan
  • Mentoring programs and leadership development
  • Certification and professional development support
  • Access to learning platforms including more than 2,500 internal courses
  • English courses taught by certified teachers

CORPORATE BENEFITS

  • Extra leave days
  • Referral bonuses

COMPENSATION PACKAGE

  • Competitive compensation paid in USD
  • Regular salary and performance reviews

MEDICAL & HEALTHCARE

  • Private health insurance
  • Well-being events

WORKING ENVIRONMENT

  • Recreation areas and kitchens
  • Tea, coffee and snacks
  • Sports equipment and game consoles
  • IT Equipment
  • Microsoft’s Software Assurance Home Use Program (HUP)

See also