Cloud Data Migration & AI Systems Engineer (USA)

Careerflow.ai

1d • Remote

About The Position

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.

Requirements

• 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

Nice To Haves

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

Responsibilities

• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed