Cloud Engineer
People Prime Worldwide · India
- Hybrid
- Contract
- $120,000 / year
- India
Job highlights
- Engineer cloud data migration and AI systems.
- Manage data pipelines and ETL/ELT workflows.
- Integrate and evaluate Generative AI components.
- Perform system testing and validation.
- Collaborate with cross-functional teams.
About the role
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 Engineer
Location: Pan India
Experience: 5+ yrs.
Employment Type: Contract to hire
Work Mode: Remote
Notice 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
Skills & topics
- Cloud Engineer
- Data Migration
- AI Systems
- AWS
- GCP
- Azure
- Data Pipelines
- ETL
- LLM
- Generative AI
- System Testing
- QA
- Remote
- Contract to Hire
How to get hired
- 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.
Technical preparation
Behavioral questions
Frequently asked questions
- What cloud platforms are most important for the Cloud Data Migration & AI Systems Engineer role at People Prime Worldwide?
- The role requires experience with major cloud platforms such as AWS, GCP, or Azure. Proficiency in any of these, or a combination, will be highly beneficial for data migration and AI systems integration.
- What kind of AI experience is needed for the Cloud Data Migration & AI Systems Engineer position?
- Hands-on exposure to LLMs or Generative AI is crucial. This includes experience with prompting, evaluating, or integrating these technologies into workflows, aligning with the company's AI infrastructure focus.
- Is this a remote position for the Cloud Data Migration & AI Systems Engineer role?
- Yes, the Cloud Data Migration & AI Systems Engineer position is a remote role, allowing you to work from anywhere within India.
- What is the employment type for the Cloud Data Migration & AI Systems Engineer role?
- This position is offered on a contract-to-hire basis, providing an opportunity to transition into a permanent role after an initial contract period.
- What are the key responsibilities of a Cloud Data Migration & AI Systems Engineer?
- Key responsibilities include managing data migration workflows across cloud platforms, creating data pipelines, integrating AI components, and performing system testing and validation.
- What level of experience is required for this Cloud Data Migration & AI Systems Engineer role?
- The role requires a minimum of 5 years of relevant experience in cloud platforms and data/storage systems.
- Does the company use MLOps or AI testing frameworks?
- While not strictly required, experience with MLOps, model evaluation frameworks, or AI testing workflows is considered a plus for this role.