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

Careerflow

Careerflow

Software Engineering, Data Science

India

Posted on Apr 24, 2026

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