AI Support Engineer

TechDigital Group; Nashville (TN); On-site; USD 90,000 - 130,000; Full time

Job summary

A tech solutions provider is seeking an AI Support Engineer in Nashville, Tennessee. This role involves operational support for enterprise AI platforms, ensuring their stability and performance. Candidates should have 8–10 years of experience in application support, particularly with AI/ML environments. Key responsibilities include incident resolution, monitoring performance, and coordinating deployments. Knowledge of Kubernetes, Python, and AI platforms is essential.

Qualifications

• 8–10 years of application or platform support experience.
• Hands-on exposure to AI/ML environments.
• Experience with AI platforms (e.g., Vertex AI) and LLM-based applications.

Responsibilities

• Operational support, incident triage and resolution related to AI APIs.
• Monitoring AI health, performance, quality, and cost.
• Coordinating with platform and middleware teams.

Skills

AI/ML Platforms

Python

Kubernetes

Job description

Mandatory Skills

• AI/ML Platforms
• Python

Job Description

The role is for an AI Support Engineer responsible for operational support of enterprise AI platforms. The focus is on ensuring stability, performance, availability, and reliability of AI/ML workloads by working closely with architecture, middleware, and development teams. The position requires 8–10 years of application or platform support experience with hands‑on exposure to AI/ML environments, including AI platforms (e.g., Vertex AI or similar), LLM-based applications, RAG pipelines, AI APIs, Python scripting, and monitoring AI workloads for latency, usage, errors, and model drift. Experience with Kubernetes and cloud-native environments is essential.

Key Responsibilities

• Day-to-day operational support, incident triage and resolution related to AI APIs, model serving, pipelines, and data flows.
• Monitoring AI health, performance, quality, and cost.
• Coordinating with platform and middleware teams.
• Supporting deployment and configuration of AI services and agent frameworks.
• Performing root cause analysis.
• Maintaining runbooks, FAQs, and operational documentation.