Cloud Data Migration & AI Systems Engineer
People Prime Worldwide
Job Overview
Who's the hiring manager?
Sign up to PitchMeAI to discover the hiring manager's details for this job. We will also write them an intro email for you.
Job Description
About the Company
Our client is a Palo Alto–based AI infrastructure and talent platform founded in 2018. It helps companies connect with remote software developers using AI-powered vetting and matching technology. Originally branded as the “Intelligent Talent Cloud,” enabled companies to “spin up their engineering dream team in the cloud” by sourcing and managing vetted global talent. In recent years, they have evolved to support AI infrastructure and AGI workflows, offering services in model training, fine-tuning, and deployment—powered by their internal AI platform, ALAN, and backed by a vast talent network. They reported $300 million in revenue and reached profitability. Their growth is driven by demand for annotated training data from AI labs, including major clients like OpenAI, Google, Anthropic, and Meta.
Job Description
Job Title: Cloud Data Migration & AI Systems EngineerLocation: Pan IndiaExperience: 5+ yrs.Employment Type: Contract to hireWork Mode: RemoteNotice Period: Immediate joiners
Roles & Responsibilities
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 analyse 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
Key skills/competency
- Cloud Data Migration
- AI Systems Engineering
- AWS
- GCP
- Azure
- Data Pipelines
- ETL/ELT
- LLMs
- Generative AI
- System Testing
How to Get Hired at People Prime Worldwide
- Tailor your resume: Highlight cloud migration, AI systems, and LLM experience.
- Showcase cloud proficiency: Detail experience with AWS, GCP, or Azure.
- Emphasize problem-solving: Provide examples of debugging and system validation.
- Demonstrate collaboration: Mention experience with cross-functional teams and Agile.
- Prepare for technical interviews: Brush up on data pipelines and AI concepts.
Frequently Asked Questions
Find answers to common questions about this job opportunity
Explore similar opportunities that match your background