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

Remote, USA Full-time Posted 2026-05-31
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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

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