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AI Workflow Engineer
Remote / Online - Candidates ideally in
Sacramento, Sacramento County, California, 94203, USA
Listed on 2026-10-28
Sacramento, Sacramento County, California, 94203, USA
Listing for:
Experis Technology Group
Remote/Work from Home
position Listed on 2026-10-28
Job specializations:
-
Software Development
AI Engineer (Applied/Software), Python
Job Description & How to Apply Below
Our client, a Semiconductor Engineering Organization, is seeking an AI Workflow Engineer to join their team. As an AI Workflow Engineer, you will be part of the Engineering Productivity organization supporting Silicon IP, SoC Development, Design Verification, and Program Management teams. The ideal candidate will have strong problem-solving skills, technical curiosity, and excellent collaboration abilities that will align successfully in the organization.
Remote
Pay:$60/hrW2 What’s the Job?- Build AI agents and workflow automations for engineering and SoC development processes.
- Develop RAG solutions using engineering specifications, test plans, project data, and technical documentation.
- Integrate repositories, engineering tools, reporting systems, and documentation platforms.
- Create AI copilots for code review, specification analysis, debugging, coverage analysis, and project tracking.
- Transform proof‑of‑concept solutions into production‑ready AI systems and productivity tools.
- BS/MS in Computer Science, Computer Engineering, Electrical Engineering, or equivalent experience.
- Strong understanding of RTL design, simulation, design verification, regression testing, and coverage workflows.
- Hands‑on experience building production‑quality AI applications, agents, plugins, or workflow automation solutions.
- Strong Python programming skills and experience with APIs and system integrations.
- Working knowledge of LLMs, RAG architectures, vector databases, agent frameworks, and prompt engineering.
- Fully remote work opportunity.
- Competitive compensation at $60/hour W2
. - Opportunity to build cutting‑edge AI solutions in a silicon engineering environment.
- Exposure to advanced AI technologies, agent orchestration platforms, and engineering automation initiatives.
- Collaborate directly with engineering leadership on high‑impact productivity projects.
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