[Hiring] Cloud Data Migration & AI Systems Engineer @Careerflow.ai

Role Description

As an Agentic Evaluation Specialist, you will work directly with researchers at a top 8 Frontier large language model company to improve LLM Agent performance specific for Agentic Storage Management.

• Data migration workflows across cloud platforms (AWS, GCP, Azure)
• Data migration strategies, considering trade-offs (online vs offline, performance, scalability)
• Creation & upkeep of data pipelines and ETL/ELT workflows in distributed environments
• Integrate and evaluate LLM/Generative AI components within workflows
• Perform system testing and validation:
  • Execute test scenarios
  • Identify edge cases and failure points
  • Debug and analyze issues across systems
• Ensure data integrity, consistency, and performance across systems
• Document findings, insights, and recommendations clearly for stakeholders
• Collaborate with cross-functional teams across engineering, data, and product

Qualifications

• 5+ years of relevant experience with cloud platforms (GCP, AWS, or Azure) and data/storage systems
• Strong understanding of data migration processes and associated trade-offs
• Experience with data pipelines, ETL/ELT workflows, or distributed systems
• Hands-on exposure to LLMs / Generative AI (prompting, evaluation, or integration)
• Experience in system testing, validation, or QA
• Strong debugging and problem-solving skills
• Excellent written communication skills

Requirements

• Background in storage administration, SRE, or cloud infrastructure operations (nice to have)
• Experience with MLOps, model evaluation frameworks, or AI testing workflows (nice to have)
• Familiarity with Google Cloud Storage (GCS) or similar platforms (nice to have)
• Experience working in Agile environments with cross-functional teams (nice to have)

Process

• Fill out an interest check form on our client's portal
• 15-minutes AI Interview