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

Position: AI Infrastructure Engineer
Location: Fort Mill, SC (Hybrid)
Duration: Full Time

Key Responsibilities

• 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.
• Mentor existing engineering teams and promote AI adoption across the organization.

Required Skills & Experience

• 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

• Agentic AI workflows and AI orchestration
• Infrastructure modernization and platform engineering
• Security automation and vulnerability management
• FinOps and observability
• Cloud migration