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Remote Workflow Developer Jobs in Fremont, CA (NOW HIRING)

VIVA USA INC

AI Workflow Engineer

San Jose, CA · On-site +1

Remote AI Workflow Engineer (Silicon Engineering Productivity) Overview We are seeking a contract engineer to accelerate development of AI-powered engineering productivity solutions for silicon IP ...

YO AI Labs

DevOps Expert - Remote

San Jose, CA · Remote

$30 - $80/hr

Remote Job Overview We are seeking experienced Developer & Infrastructure Experts to evaluate AI ... Test and validate AI-assisted workflows across DevOps, cloud, infrastructure, and platform ...

YO AI Labs

DevOps Expert - Remote

Palo Alto, CA · Remote

$30 - $80/hr

Remote Job Overview We are seeking experienced Developer & Infrastructure Experts to evaluate AI ... Test and validate AI-assisted workflows across DevOps, cloud, infrastructure, and platform ...

YO AI Labs

DevOps Expert - Remote

San Francisco, CA · Remote

$30 - $80/hr

Remote Job Overview We are seeking experienced Developer & Infrastructure Experts to evaluate AI ... Test and validate AI-assisted workflows across DevOps, cloud, infrastructure, and platform ...

YO AI Labs

DevOps Engineer - Remote

San Francisco, CA · Remote

$50 - $150/hr

Remote Job Overview We are seeking experienced DevOps Engineers to create and evaluate production ... Provide structured feedback to improve AI-generated DevOps workflows. Required Skills * Kubernetes

YO AI Labs

DevOps Engineer - Remote

San Jose, CA · Remote

$50 - $150/hr

Remote Job Overview We are seeking experienced DevOps Engineers to create and evaluate production ... Provide structured feedback to improve AI-generated DevOps workflows. Required Skills * Kubernetes

YO AI Labs

DevOps Engineer - Remote

Palo Alto, CA · Remote

$50 - $150/hr

Remote Job Overview We are seeking experienced DevOps Engineers to create and evaluate production ... Provide structured feedback to improve AI-generated DevOps workflows. Required Skills * Kubernetes

YO AI Labs

Infrastructure Expert - Remote

Palo Alto, CA · Remote

$30 - $80/hr

Remote Job Overview We are seeking experienced Developer & Infrastructure Experts to evaluate AI-powered workflows across software development, cloud infrastructure, DevOps, SRE, and platform ...

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How much do remote workflow developer jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for remote workflow developer in Fremont, CA is $57.84, according to ZipRecruiter salary data. Most workers in this role earn between $44.23 and $70.77 per hour, depending on experience, location, and employer.

What is the difference between Remote Workflow Developer vs Remote Business Analyst?

AspectRemote Workflow DeveloperRemote Business Analyst
Required CredentialsTechnical certifications, programming skillsBusiness analysis certifications, analytical skills
Work EnvironmentCollaborates with developers, IT teamsWorks with stakeholders, project managers
Industry UsageTech, software development, automationFinance, healthcare, consulting
Search & Comparison IntentFocus on automation, workflows, scriptingFocus on business processes, requirements

The Remote Workflow Developer primarily focuses on designing and implementing automated workflows using technical skills, while the Remote Business Analyst concentrates on analyzing business needs and translating them into solutions. Both roles often collaborate but serve different functions within project teams, with the Workflow Developer emphasizing technical automation and the Business Analyst emphasizing process improvement.

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Remote Workflow Developer jobs near you

AI Workflow Engineer

VIVA USA INC

San Jose, CA • On-site, Remote

Contractor

Posted 8 days ago

Job description

Remote
AI Workflow Engineer (Silicon Engineering Productivity)
Overview
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:
o specification analysis
o test-plan review
o coverage analysis
o code review
o debug assistance
o project tracking
o 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:
o AI agent
o AI skill/plugin
o workflow automation
o MCP-based solution
o agent orchestration system
• Strong Python development experience.
• Experience with APIs, automation frameworks, and software integration.
• Working knowledge of:
o LLMs
o RAG architectures
o vector databases
o agent frameworks
o prompt/context engineering
• Ability to independently decompose ambiguous problems and deliver working solutions.
Strongly Preferred
• Semiconductor industry experience.
• Experience integrating AI solutions with:
o GitHub
o Perforce
o Confluence
o SharePoint
o Jira
o Teams
o engineering databases
• Experience building AI solutions that operate on proprietary engineering documentation and source repositories.
• Familiarity with secure enterprise AI deployments.
What Success Looks Like (First 6 Months)
The contractor delivers several reusable AI assets that are actively used by engineering teams, including examples such as:
• Engineering knowledge assistants.
• Test-plan analysis and review agents.
• Verification productivity tools.
• Debug and failure-triage assistants.
• Reporting and operational automation solutions.
• Workflow orchestration agents spanning multiple engineering tools.
Success is measured by adoption, engineer time savings, workflow completion rates, and reduction of repetitive manual work.
Notes:
Remote
VIVA is an equal opportunity employer. All qualified applicants have an equal opportunity for placement, and all employees have an equal opportunity to develop on the job. This means that VIVA will not discriminate against any employee or qualified applicant on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status

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