Client-Facing AI Deployment Engineer

CloudFactory Limited; Northern (KY); Hybrid; USD 120,000 - 180,000; Full time

Job summary

CloudFactory Limited is seeking a hands-on AI Deployment Engineer to work with strategic clients, designing scalable integrations and production-ready workflows that move AI from experimentation to reliable deployment.

You will build APIs, data pipelines, and agentic AI with human-in-the-loop concepts, lead technical discovery sessions, and partner with delivery teams to ensure feasible, scalable solutions across client environments.

Qualifications

• 2+ years software engineering experience.
• Strong proficiency in Python and Go.
• Proficiency with Claude and all relevant AI tools.
• Experience with cloud infrastructure (AWS/GCP/Azure).
• Experience building APIs and working with distributed systems.
• Experience designing data pipelines or ML infrastructure.
• Ability to evaluate end-to-end workflow performance.

Responsibilities

• Design and implement integrations between client systems and CloudFactory’s platform.
• Architect scalable agentic AI & human-in-the-loop workflows.
• Define data ingestion, transformation, and feedback loops.
• Evaluate system bottlenecks (latency, quality, throughput).
• Translate PoC AI systems into scalable production workflows.
• Identify operational risks before deployment.
• Partner with Delivery teams to ensure execution feasibility.
• Build APIs, connectors, automation scripts, and data pipelines.
• Lead technical discovery sessions with clients.
• Communicate with C-level and technical stakeholders.

Skills

Python

Go

APIs

Distributed systems

Software engineering

Stakeholder communication

Tools

Claude

AWS

GCP

Azure

Job description

CloudFactory Limited is seeking a hands-on AI Deployment Engineer to work with strategic clients, designing scalable integrations and production-ready workflows that move AI from experimentation to reliable deployment.

You will build APIs, data pipelines, and agentic AI with human-in-the-loop concepts, lead technical discovery sessions, and partner with delivery teams to ensure feasible, scalable solutions across client environments.