Senior AI DevOps Engineer — LLMOps, CI/CD & Infra

Expedient

Indianapolis (IN)

Hybrid

USD 120,000 - 150,000

Full time

14 days+

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Benefits offered by this job

Three weeks PTO
Parental leave
Top-tier health insurance
401(k) match

Job summary

Expedient is seeking an AI DevOps Engineer to build the framework for agentic workflows, tooling apps, and AI integrations. You’ll own from commit to production with Git-driven CI/CD, IaC, release/config management, and observability for cost‑efficient model-powered systems.

This is a build role focusing on LLMOps—prompts, configs, and integrations—rather than maintaining existing pipelines. Hybrid work in Indianapolis or nearby regions with strong compensation.

Qualifications

  • 3–5 years in DevOps, platform engineering, SRE or MLOps/LLMOps.
  • Designing Git-based CI/CD pipelines from scratch.
  • Infrastructure as Code with Terraform and Helm; GitOps with ArgoCD/Flux.
  • Kubernetes administration and automation.
  • Observability with Elastic/OpenTelemetry; define alerts and SLOs/SLIs.
  • Scripting in Python and Bash; SQL fundamentals.
  • Secrets management and SSO/OIDC configuration.

Responsibilities

  • Design and build Git-based CI/CD pipelines for apps, agentic workflows, MCP servers, and data connectors.
  • Provision and manage Kubernetes clusters and client environments with IaC (Terraform, Helm).
  • Manage environment and deployment configuration as code across client deployments.
  • Own versioning, environment promotion, release gates, and rollback strategies.
  • Build observability backbone with monitoring, tracing, and cost instrumentation.
  • Stand up LLMOps pipelines for prompts, evaluations, routing, and token dashboards.
  • Maintain governance with approvals, audit trails, and security guardrails.

Skills

Git-based CI/CD
Python
Bash
SQL
LLMOps
Observability
Automation mindset

Tools

Terraform
Helm
ArgoCD
Flux
Kubernetes

Job description

Expedient is seeking an AI DevOps Engineer to build the framework for agentic workflows, tooling apps, and AI integrations. You’ll own from commit to production with Git-driven CI/CD, IaC, release/config management, and observability for cost‑efficient model-powered systems.

This is a build role focusing on LLMOps—prompts, configs, and integrations—rather than maintaining existing pipelines. Hybrid work in Indianapolis or nearby regions with strong compensation.

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