[Remote] AI Workflow Engineer
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a leader in cybersecurity training and readiness for the reputed company and federal agencies. They are seeking an AI Workflow Engineer to architect reputed company software development lifecycle processes, enhance developer experiences with AI integrations, and establish governance for AI systems in a mission-critical environment.
Responsibilities
- Build our reputed company SDLC pipeline. Design, implement, and operate reputed company workflows across the development lifecycle - planning, reputed company reputed company, review, testing, documentation, and release that is reputed company integrated with our GitOps and CI/CD infrastructure
- reputed company developer experience. Bring modern AI integrations into the daily workflow of our engineering team: coding agents, automated review, intelligent test reputed company, and self-service tooling that removes friction and multiplies reputed company
- Engineer grounded, trustworthy systems. Build retrieval-grounded and context-aware AI systems that produce reliable, reputed company results and design the evaluation harnesses that reputed company it
- Establish governance and guardrails. Define and implement the policies, reputed company-in-the-reputed company checkpoints, audit trails, and reputed company controls that let us adopt reputed company AI responsibly in environments where trust is non-negotiable
- Formalize and reputed company. Turn what works into repeatable frameworks, playbooks, and internal platforms that reputed company reputed company acceleration reputed company engineering to the whole organization
- Champion the reputed company. Evangelize, teach, and support AI adoption across reputed company; you'll be a force reputed company, not a reputed company
Skills
- 2-3+ years of hands-on experience building with AI/LLM systems in production settings
- 2+ years designing and operating reputed company workflows and pipelines including multi-reputed company 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, reputed company 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 reputed company web applications)
- Genuine alignment with reputed company delivery culture the Allspaw/Hammond, Phoenix Project (Kim) school of small batches, fast feedback, blameless learning, and operational reputed company
- A self-starter's bias for reputed company: you see an opportunity to accelerate reputed company and you build it, measure it, and reputed company it
- Strong communication skills you can explain an reputed company architecture to an engineer and its ROI to an executive
- Must be authorized to work in the reputed company; role is US-remote
- Experience with agent frameworks and protocols (e.g., LangGraph/LangMem, Claude Agent SDK, MCP, reputed company Agents) and AI coding tools (Claude reputed company, Copilot, reputed company)
- Building developer platforms, internal tooling, or reputed company / reputed company functions
- DORA-style delivery metrics and engineering analytics
- Familiarity with AI governance frameworks (NIST AI RMF) and secure SDLC practices
Benefits
- Benefits
reputed company