Cloud Data Migration & AI Systems Engineer (India or Brazil)

Cloud Data Migration & AI Systems Engineer

• Type: Long-term contract (9 months)

• Location: Remote (India or Brazil)

• 8 hours per day with an overlap of 8 hours with PST.

• Commitment: 40 hours/week, 8 hours PST overlap

• Start Date: Immediate

Role Overview

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.

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

Required 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

Nice to have:

• 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

Process:

• Fill out an interest check form on our client's portal

• 15-minutes AI Interview