Senior AI/ML Engineer (GenAI, AWS)

Provectus

WorldwideFully remoteFull TimeSeniorInformation Technology
Posted 2h ago

Why we think you can apply

Hiring model
Open worldwide · the employer states no country restriction
Work from
Anywhere, the UAE included

Posted 2 hours ago · apply link checked 1 hour ago

About the role

Responsibilities

  • Work in a pair with an FDE and an FDX
  • Build and ship production GenAI systems into the customer's environment
  • Build and optimize RAG systems for production use cases
  • Build the evaluation harness before you build the feature
  • Integrate AI components into backend services and RESTful APIs
  • Implement LLMOps and AgentOps practices with cost and latency monitoring
  • Mentor junior and mid-level AI engineers and conduct code reviews

Requirements

  • 5+ years in software or ML engineering with production systems
  • Shipped production LLM applications and agentic workflows
  • Experience with LLM APIs (Anthropic, AWS Bedrock, or OpenAI)
  • Hands-on AWS in production (Bedrock, Lambda, ECS, S3, SQS)
  • Python and/or TypeScript proficiency
  • Built or owned an eval suite for a non-deterministic system
  • B2+ English

Preferred Qualifications

  • Experience in financial services, insurance, or healthcare
  • AWS and Claude Code certifications
  • Experience with MCP or A2A agent interoperability
  • CI/CD pipeline experience

Benefits

  • Remote-friendly culture
  • Private medical insurance
  • Paid sick leave, vacation, and public holidays
  • Internal training and certification support

About the Company

Provectus is an AWS Premier Partner and Anthropic Strategic Partner delivering applied AI for enterprises in financial services and healthcare.

What we look for

  • 5+ years in software or ML engineering with production systems
  • Shipped production LLM applications and agentic workflows
  • Experience with LLM APIs (Anthropic, AWS Bedrock, or OpenAI)
  • Hands-on AWS in production (Bedrock, Lambda, ECS, S3, SQS)
  • Python and/or TypeScript proficiency
  • Built or owned an eval suite for a non-deterministic system
  • B2+ English
  • Experience in financial services, insurance, or healthcare
  • AWS and Claude Code certifications
  • Experience with MCP or A2A agent interoperability
  • CI/CD pipeline experience
PythonAWSTypeScriptDockerKubernetesMachine LearningCI/CDLLMRAGClaudeMCPBedrock
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