C

CloudFactory

AI-assisted data labeling and processing services

Forward Deployed Engineer

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeNo salary listed

About the Job

Requirements

  • At least 2 years of software engineering experience.
  • Strong proficiency in Python and Go.
  • Proficiency with Claude and relevant AI tools.
  • Experience with cloud infrastructure such as AWS, GCP, or Azure.
  • Experience building APIs and working with distributed systems.
  • Experience designing data pipelines or machine learning infrastructure.
  • Ability to evaluate end-to-end workflow performance.
  • Familiarity with the AI/ML lifecycle, including training, inference, evaluation, and feedback.
  • Ability to distinguish scalable feature opportunities from custom requests.
  • Ability to communicate with C-level and deeply technical stakeholders.
  • Comfort running technical workshops.
  • Ability to translate ambiguity into architecture.

Responsibilities

  • Design and implement integrations between client systems and CloudFactory’s platform.
  • Architect scalable agentic AI and human-in-the-loop workflows.
  • Define data ingestion, transformation, and feedback loops.
  • Evaluate system bottlenecks, including latency, quality, and throughput.
  • Translate proof-of-concept AI systems into scalable production workflows.
  • Identify operational risks before deployment.
  • Partner with Delivery teams to ensure execution feasibility.
  • Improve reliability and reduce manual intervention.
  • Build APIs, connectors, automation scripts, and data pipelines.
  • Debug integration issues in client environments.
  • Contribute to internal platform enhancements.
  • Surface recurring patterns from client deployments.
  • Distinguish between custom solutions and reusable features.
  • Influence roadmap priorities with evidence from the field.
  • Lead technical discovery sessions.
  • Support pre-sales validation.
  • Act as a trusted advisor to enterprise engineering teams.

About the Company

CloudFactory

AI-assisted data labeling and processing services

CloudFactory provides data labeling and data processing services using a managed workforce combined with AI-assisted labeling. It handles text, audio, and image annotation and specializes in financial document processing, healthcare AI data, retail automation, and geospatial AI initiatives. Clients can use CloudFactory’s platform to manage annotation work or integrate it with their own tools, enabling scalable, high-quality data for training AI models. The company differentiates itself through its large, experienced workforce (25+ million hours of data work) and its ability to deliver accurate labels five times faster than traditional methods, with faster turnaround and cost efficiency. Its goal is to help clients accelerate AI development and bring AI-powered solutions to market more quickly while optimizing business operations and reducing costs.

Company size
1,001-5,000
Company stage
Early VC
Total funding
$78M
Headquarters
Durham, NC
Founded
2010

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