Client-Facing AI Deployment Engineer

CloudFactory; Chicago (IL); On-site; USD 120,000 - 170,000; Full time

Job summary

CloudFactory is an AI enablement company helping enterprises deploy AI at scale. You will design and implement scalable integrations, define production-ready workflows, and guide AI systems from experimentation to reliable deployment, working hands-on with clients.

Role emphasizes engineering depth, API development, and leadership in technical discovery, pre-sales support, and enterprise engagements. Occasional travel to client sites is expected.

Qualifications

• 2+ years software engineering experience.
• Proficiency in Python and Go.
• Experience with cloud infrastructure (AWS/GCP/Azure).
• Experience building APIs and distributed systems.
• Familiarity with AI/ML lifecycle (training → inference → evaluation → feedback).

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 PoCs into scalable production workflows and identify risks.
• Partner with Delivery teams to ensure feasibility and execution.
• Build APIs, connectors, automation scripts, and data pipelines.
• Surface recurring patterns from client deployments to inform roadmap.

Skills

Python

Go

Distributed systems

APIs

AWS

GCP

Azure

Data pipelines

Claude

ML lifecycle

Job description

CloudFactory is an AI enablement company helping enterprises deploy AI at scale. You will design and implement scalable integrations, define production-ready workflows, and guide AI systems from experimentation to reliable deployment, working hands-on with clients.

Role emphasizes engineering depth, API development, and leadership in technical discovery, pre-sales support, and enterprise engagements. Occasional travel to client sites is expected.