Client-Facing AI Deployment Engineer

CloudFactory; New York (NY); On-site; USD 120,000 - 180,000; Full time

Job summary

CloudFactory is an AI enablement company specializing in data preprocessing, model fine-tuning, and MLOps for production AI solutions.

You will design and implement scalable integrations with client systems, build production-ready workflows, and ensure AI deployments move from experiment to reliable operations. This hands-on role combines engineering depth with client-facing leadership.

Qualifications

• 2+ years software engineering experience.
• Strong proficiency in Python and Go.
• Experience with cloud infrastructure (AWS/GCP/Azure).
• Experience building APIs and distributed systems.

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.
• Translate proof-of-concept AI systems into production workflows and manage risks.
• Lead technical discovery sessions and support pre-sales validation.
• Communicate architecture decisions to C-level and technical stakeholders.
• Contribute to internal platform enhancements and tooling.
• Evaluate end-to-end workflow performance and bottlenecks.

Skills

Python

Go

Claude

APIs

Cloud infrastructure

Tools

AWS

GCP

Azure

Distributed systems

Job description

CloudFactory is an AI enablement company specializing in data preprocessing, model fine-tuning, and MLOps for production AI solutions.

You will design and implement scalable integrations with client systems, build production-ready workflows, and ensure AI deployments move from experiment to reliable operations. This hands-on role combines engineering depth with client-facing leadership.