AI Workflow Engineer

Ultimate Knowledge; Tennessee; On-site; USD 150,000 - 200,000; Full time

Benefits offered by this job

Remote work

Competitive salary

Career growth

Job summary

Ultimate Knowledge Institute (UKi) is seeking an AI Workflow Engineer to architect an agentic SDLC from the ground up. You will design, implement, and operate agentic workflows aligned with GitOps and CI/CD, collaborating with senior US-based engineers to accelerate delivery while upholding engineering excellence.

You will contribute to a governance framework, guardrails, and evaluation harnesses, ensuring trustworthy AI production systems and measurable outcomes for national defense missions.

Qualifications

• Hands-on experience building with AI/LLM systems in production settings.
• Designing and operating agentic workflows and pipelines including multi-step orchestration, tool use, evaluation, governance.

Responsibilities

• Build our agentic SDLC pipeline across planning, code generation, review, testing, documentation, and release.
• Enhance developer experience with AI integrations into daily workflows.
• Engineer grounded, trustworthy AI systems with retrieval-grounded and context-aware approaches.

Skills

AI/LLM workflows

Agentic SDLC

GitOps

CI/CD

JavaScript/TypeScript

Python

Communication

Tools

GitOps

CI/CD

Express.js

Job description

Build the Agentic Software Factory

AI is rewriting how software gets built and most organizations are still bolting chatbots onto yesterday's process. We're doing something different. UKi is looking for an AI Workflow Engineers to architect our agentic SDLC from the ground up: formalized pipelines where AI agents plan, build, test, review, and ship alongside a core team of skilled senior US-based engineers, with the governance, grounding, and measurement to prove it works. This isn't a research role and it isn't prompt tinkering. You'll be designing the delivery system itself the workflows, guardrails, and feedback loops that let a high-performing team move dramatically faster without sacrificing the engineering excellence we practice every day. Your work will directly accelerate a mission that matters: delivering workforce readiness to the nation's cyber warfighters. Agentic development is the biggest shift in how software gets built since continuous delivery itself. Very few teams get to design and own that transformation from the ground up, backed by senior engineers who want it to succeed, in service of a mission that protects the people defending the nation. If you've been waiting for the role where AI engineering meets real delivery discipline and real impact, this is it.

About UKi

Since 1999, Ultimate Knowledge Institute has set the standard for cybersecurity training and readiness for the Department of Defense, federal agencies, and Fortune 500 companies. Today we're delivering a platform that builds and demonstrates true workforce and work-role readiness. Our platform identifies individual expertise gaps and builds adaptive, custom training plans to close those gaps for Federal U.S. Government, Defense, Intelligence Community, State/Local, and commercial customers. You'll be joining a newly forming AI engineering team inside a mature product engineering team, which means real users, real stakes, and a green field for how AI transforms the way we build.

What You'll Do

• Build our agentic SDLC pipeline. Design, implement, and operate agentic workflows across the development lifecycle - planning, code generation, review, testing, documentation, and release that is all integrated with our GitOps and CI/CD infrastructure.
• Level up developer experience. Bring modern AI integrations into the daily workflow of our engineering team: coding agents, automated review, intelligent test generation, and self-service tooling that removes friction and multiplies output.
• Engineer grounded, trustworthy systems. Build retrieval-grounded and context-aware AI systems that produce reliable, verifiable results and design the evaluation harnesses that prove it.
• Establish governance and guardrails. Define and implement the policies, human-in-the-loop checkpoints, audit trails, and security controls that let us adopt agentic AI responsibly in environments where trust is non-negotiable.
• Formalize and scale. Turn what works into repeatable frameworks, playbooks, and internal platforms that extend agentic acceleration beyond engineering to the whole organization.
• Champion the practice. Evangelize, teach, and support AI adoption across the team; you'll be a force multiplier, not a silo.

Why Now?

Agentic development is the biggest shift in how software gets built since continuous delivery itself ? and very few teams get to design that transformation from a blank page, backed by senior engineers who want it to succeed, in service of a mission that protects the people defending the nation. If?you've?been waiting for the role where AI engineering meets real delivery discipline and real impact, this is it.

Requirements

Required:

• 2?3+ years of hands‑on experience building with AI/LLM systems in production settings.
• 2+ years designing and operating agentic workflows and pipelines including multi‑step agent orchestration, tool use, evaluation, and governance.
• Experience embedded in modern development teams practicing GitOps and CI/CD (required).
• Working knowledge of grounded AI patterns: RAG, context engineering, structured outputs, and evaluation/observability for LLM systems.
• Solid software engineering fundamentals in JavaScript/TypeScript and/or Python; comfort working in and around our stack (Angular/React frontends on Express web applications).
• Genuine alignment with continuous delivery culture the Allspaw/Hammond, Phoenix Project (Kim) school of small batches, fast feedback, blameless learning, and operational excellence.
• A self‑starter's bias for action: you see an opportunity to accelerate the team and you build it, measure it, and share it.
• Strong communication skills you can explain an agentic architecture to an engineer and its ROI to an executive.
• Must be authorized to work in the United States; role is US-remote.

Nice to Have

• Experience with agent frameworks and protocols (e.g., LangGraph/LangMem, Claude Agent SDK, MCP, OpenAI Agents) and AI coding tools (Claude Code, Copilot, Cursor).
• Building developer platforms, internal tooling, or platform engineering / DevEx functions.
• DORA-style delivery metrics and engineering analytics.
• Familiarity with AI governance frameworks (NIST AI RMF) and secure SDLC practices.

Our Tech Environment?

Angular and React frontends on Express/Node.js web applications, delivered through GitOps and automated CI/CD pipelines. We practice continuous delivery: deploy often, automate everything, learn from every incident. You'll have wide latitude to introduce the agentic tooling and AI infrastructure this mission needs.

Benefits

Base salary range: $150,000?$200,000,?commensurate?with experience, plus benefits. This range reflects current market rates for mid-level AI/agentic engineering talent in US-remote roles.