AI Infrastructure Engineer - Fort Mill, SC (Hybrid) - Full Time - Lorven Technologies Inc

Lorven Technologies Inc

Fort Mill, SC, United States

24 days ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

10 years minimum

Compensation

$80,000.0 - $165,000.0

Working hours

Regular working hours

Job source

www.careerjet.com

Tech stack

A/B Testing Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Cloud Computing Cloud Computing Security Continuous Integration Cursor (Graphical User Interface Elements) DevOps Github Python (Programming Language) OpenShift

+30 more

Ansible Software Engineering Management of Software Versions Software Vulnerability Management AI Infrastructure AWS Cdk Cloud-native Network Functions (CNF) Pulumi Scripting GitHub Copilot Istio Large Language Models Grafana Multi-Agent Systems Prompt Engineering Infrastructure as Code (IaC) Amazon Virtual Private Cloud (VPC) Infrastructure Automation Frameworks Information Technology Nintex Machine Learning Operations Cloud Migration Virtual Agents Puppet Terraform Dynatrace Automation Anywhere AWS EKS Security Orchestration, Automation & Response Vmware

Job description

Bachelor’s or Master’s degree in Computer science or equivalent, with minimum 10+ Years of experience in IT.
Embed within Infrastructure teams and work closely with business and infrastructure leaders.
Identify automation opportunities independently, without waiting for instructions.
Build AI-assisted solutions using Cursor and GitHub Copilot.
Develop Infrastructure automation and build AI workflows and AI agents.
Modernize infrastructure platforms and improve cloud migration efficiency.
Build vulnerability remediation automation.
Demonstrate proof-of-concepts rapidly and deliver measurable productivity improvements.
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1 day ago +

Requirements

Programming & scripting: strong Python development, scripting, and APIs.
Infrastructure & cloud: infrastructure engineering, cloud platforms (AWS preferred), Infrastructure as Code (IaC), DevOps, and automation.
AI-assisted engineering: GitHub Copilot, Cursor AI, prompt engineering, LLM-based software development, and AI-assisted coding.
Ways of working: strong problem solving, a self-starter mindset, and excellent communication.

Platform & Infrastructure FDE:

Infrastructure as Code - Terraform, Pulumi, AWS CDK, VMware, OpenShift
Configuration-as-Code - Ansible, Puppet
CI/CD - GitHub Actions, ArgoCD
Kubernetes - EKS / GKE / AKS, Helm, service mesh
Observability - OpenTelemetry, Dynatrace, Grafana, LLM metrics
Cloud security - VPC, PrivateLink, encryption, data residency
Compliance - SOC 2, HIPAA, FedRAMP for LLM
Agentic frameworks - LangGraph, CrewAI, N8N
LLMOps - model routing (LiteLLM), semantic caching, prompt versioning, A/B testing
Cost / FinOps for LLM

Preferred Skills