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AI Workflow Engineer (Silicon Engineering Productivity)

Remote • Posted 23 hours ago • Updated 23 hours ago

Contract Corp To Corp

Contract W2

6 Months

Remote

Depends on Experience

Fitment

Dice Job Match Score™

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Job Details

Skills

Summary

Job Description:
We are seeking a contract engineer to accelerate development of AI-powered engineering productivity solutions for silicon IP and SoC development. The successful candidate will work directly with engineering leadership to design, implement, and deploy AI skills, agents, workflow automations, and knowledge systems that improve engineering efficiency across design, verification, integration, and project execution.
This is an applied engineering role focused on building practical solutions rather than conducting AI research.

Responsibilities

Develop AI agents and skills that automate multi-step engineering workflows.
Build retrieval-augmented generation (RAG) systems for engineering knowledge, specifications, design documentation, test plans, and project data.
Create workflow automations that connect engineering tools, repositories, documentation systems, and reporting environments.
Design and implement copilots, assistants, and agentic workflows for:
- specification analysis
- test-plan review
- coverage analysis
- code review
- debug assistance
- project tracking
- engineering reporting
Build proof-of-concept solutions and mature them into reusable assets.
Evaluate emerging AI models, frameworks, orchestration techniques, and agent architectures.
Develop metrics and dashboards demonstrating engineering productivity improvements.
Work closely with design, DV, program management, and CAD teams to identify high-value automation opportunities.

Required Qualifications

BS/MS in Computer Engineering, Computer Science, Electrical Engineering, or equivalent experience.
Understanding of RTL design, DV, simulation, regression, coverage, or SoC development workflows.
Demonstrated experience building AI applications beyond prompt engineering.
Experience creating at least one production-quality:
- AI agent
- AI skill/plugin
- workflow automation
- MCP-based solution
- agent orchestration system
Strong Python development experience.
Experience with APIs, automation frameworks, and software integration.
Working knowledge of:
- LLMs
- RAG architectures
- vector databases
- agent frameworks
- prompt/context engineering
Ability to independently decompose ambiguous problems and deliver working solutions.

Strongly Preferred

Semiconductor industry experience.
Experience integrating AI solutions with:
- GitHub
- Perforce
- Confluence
- SharePoint
- Jira
- Teams
- engineering databases
Experience building AI solutions that operate on proprietary engineering documentation and source repositories.
Familiarity with secure enterprise AI deployments.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: saicon
Position Id: 26-88747
Posted 23 hours ago

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