Agentic AI Workflow Engineer

Ultimate Knowledge Institute; Chesapeake (VA); On-site; USD 150,000 - 200,000; Full time

Job summary

Ultimate Knowledge Institute is crafting an agentic SDLC to enable AI agents to plan, build, test, review, and ship alongside senior US-based engineers. This role focuses on delivering grounded, governance-driven AI systems with strong alignment to continuous delivery practices.

As part of a mission-driven team, you’ll design scalable workflows, guardrails, and feedback loops that accelerate delivery while maintaining engineering excellence and security across the development lifecycle.

Qualifications

• 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 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

Responsibilities

• 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

Skills

JavaScript/TypeScript

Python

AI/LLM systems

GitOps

CI/CD

Communication

Tools

LangGraph

LangMem

Claude Agent SDK

OpenAI Agents

Claude Code

Copilot

Cursor

Angular

React

Express/Node.js

Job description

Ultimate Knowledge Institute is crafting an agentic SDLC to enable AI agents to plan, build, test, review, and ship alongside senior US-based engineers. This role focuses on delivering grounded, governance-driven AI systems with strong alignment to continuous delivery practices.

As part of a mission-driven team, you’ll design scalable workflows, guardrails, and feedback loops that accelerate delivery while maintaining engineering excellence and security across the development lifecycle.