Artificial Intelligence Engineer

Flexton Inc.; Austin (TX); On-site; USD 68,880 - 82,656; Full time

Job summary

A technology firm based in Austin, TX, is seeking an experienced Cloud and Kubernetes Engineer to design and manage workflows necessary for AI systems. The candidate should possess strong Kubernetes and cloud-native architecture skills, with a minimum of 5 years in related environments. Responsibilities include developing AI workflows, deploying Kubernetes clusters, managing monitoring tools, and collaborating across teams to optimize incident management. Effective communication is essential as the role involves explaining technical concepts to varied audiences.

Qualifications

• Minimum 5 years of experience in Cloud Operations, DevOps, or Kubernetes-based environments.
• Hands-on experience with Kubernetes fundamentals and troubleshooting.
• Strong Linux administration skills and proficiency in scripting languages (Bash, Python preferred).
• Experience with monitoring/logging tools (Prometheus, Grafana, ELK, or equivalent).
• Excellent communication skills for explaining technical issues to non-technical audiences.
• Kubernetes certification (CKA/CKS) or equivalent practical experience.

Responsibilities

• Develop and manage AI learning workflows using Agentic AI principles.
• Deploy, monitor, and troubleshoot Kubernetes clusters.
• Implement cloud-native solutions supporting microservices and CI/CD pipelines.
• Configure and manage monitoring and logging tools.
• Collaborate with teams for automated incident management workflows.
• Apply networking knowledge for optimizing system performance.
• Drive issues to resolution while communicating effectively.

Skills

Cloud Operations

DevOps

Kubernetes

Scripting languages (Bash, Python)

Linux administration

Monitoring/logging tools

Excellent communication skills

Education

Kubernetes certification (CKA/CKS) or equivalent

Tools

Prometheus

Grafana

ELK

Jira

ServiceNow

Job description

This range is provided by Flexton Inc.. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base Pay Range

$50.00/hr - $60.00/hr

Location

Austin, TX

Job Summary

We are seeking an experienced Cloud and Kubernetes Engineer to design, implement, and manage workflows that enable AI systems to learn and operate effectively using Agentic AI methodologies. The ideal candidate will have strong expertise in Kubernetes, cloud-native architectures, and DevOps practices, with the ability to translate complex technical concepts into scalable AI workflows. Experience with LangGraph or LangChain is a plus. Rag models.

Key Responsibilities

• Develop and manage AI learning workflows using Agentic AI principles, integrating with platforms such as LangGraph and LangChain.
• Deploy, monitor, and troubleshoot Kubernetes clusters, including Pods, Deployments, Services, ConfigMaps, Secrets, API server, and Etcd.
• Implement cloud-native solutions, supporting microservices, containerization, and CI/CD pipelines.
• Configure and manage monitoring and logging tools (Prometheus, Grafana, ELK, or equivalent) to ensure high availability and observability.
• Collaborate with cross-functional teams to design automated incident management and ticketing workflows using tools like Jira or ServiceNow.
• Apply networking knowledge for DNS, Load Balancing, and Ingress to optimize system performance.
• Maintain high standards of accountability and ownership, driving issues to resolution while communicating effectively with both technical and non-technical stakeholders.

Required Skills & Experience

• Minimum 5 years of experience in Cloud Operations, DevOps, or Kubernetes-based environments.
• Hands‑on experience with Kubernetes fundamentals, architecture, controllers, admission webhooks, and basic troubleshooting.
• Strong Linux administration skills and proficiency in scripting languages (Bash, Python preferred).
• Basic understanding of cloud-native concepts, microservices, and CI/CD pipelines.
• Experience with monitoring/logging tools (Prometheus, Grafana, ELK, or equivalent).
• Familiarity with incident management and ticketing workflows (e.g., Jira, ServiceNow).
• Excellent communication skills, capable of explaining technical issues to non-technical audiences.
• Kubernetes certification (CKA/CKS) or equivalent practical experience.

Preferred Skills

• Experience with AI workflow orchestration and Agentic AI development.
• Familiarity with LangGraph, LangChain, or other AI workflow frameworks.

Seniority Level

Mid‑Senior level

Employment Type

Contract

Job Function

Information Technology