Commitments Required: 40 hours per week with overlap of 6 hours with PST. Engagement type: Contractor (no medical/paid leave). Duration of contract: 6 months with opportunity to extend; expected start date is 1st week of Jun-2026. Location: North America and LATAM.
Cloud Data Migration & AI Systems Engineer
Location
India + 1 moreAll locations: India | Brazil
Posted
43 days ago
Salary
$100K - $120K / year
Seniority
Mid Level
Job Description
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
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