DevOps Engineer III, AI – Business Automation

Jobtailor; Campbell (CA); On-site; USD 120,000 - 190,000; Full time

Job summary

Jobtailor in Campbell, California is seeking a senior AI Automation & Integrations leader to design, develop, and maintain full‑stack custom business applications, MES integrations, asset management tools, and unified internal dashboards that drive operational excellence.

You will own enterprise software integrations across SAP S/4HANA Cloud, Salesforce, Google Workspace, Jira, and more; lead AI initiatives, deploy AI agents with Anthropic Claude and Google Gemini; define architecture, implement

Qualifications

• 7+ years of professional software engineering or related technical discipline.
• Experience building production-grade custom applications and software integrations.
• Hands-on AI/LLM API experience and building AI-powered automations.

Responsibilities

• Design, develop, and maintain full-stack custom business applications including MES, asset management tools, and dashboards.

Skills

AI/LLM APIs

Python

JavaScript/TypeScript

Node.js

React Vue

RESTful APIs

CI/CD

Docker

System architecture

Education

BS in Computer Science or related field

Tools

Anthropic Claude

Google Gemini

SAP

Salesforce

Google Workspace

Slack

Jira

GitHub

Job description

Responsibilities

• Design, develop, and maintain full-stack custom business applications including manufacturing execution systems (MES), asset management tools, and unified internal operational dashboards
• Build and maintain software integrations across the company’s internal systems portfolio, including SAP S/4HANA Cloud Public, SAP Business ByDesign, SAP Concur (Travel, Expense & Invoice), Salesforce, Google Workspace, Zoom, Slack, Jira, GitHub, and additional platforms as the business evolves
• Serve as the company’s primary subject matter expert on artificial intelligence and key member of the AI Risk Committee
• Design and deploy AI-powered agents and automated workflows using platforms such as Anthropic Claude and Google Gemini to systematically identify and eliminate routine manual tasks across the organization
• Architect and implement prompt engineering strategies, agentic frameworks, and multi-step AI pipelines tailored to specific business use cases and operational requirements
• Continuously evaluate emerging AI tools, LLM capabilities, agent frameworks, and automation platforms; build proof-of-concepts and recommend adoption paths aligned with company objectives and infrastructure
• Establish and maintain internal AI standards, best practices, and responsible use guidelines to ensure consistent, secure, and effective AI adoption across the organization
• Lead cross-departmental discovery sessions to surface automation and AI opportunities, partnering with business stakeholders to translate operational needs into scalable, maintainable technical solutions
• Develop and deliver internal training, documentation, and enablement resources to educate employees on AI tools and capabilities, building a culture of intelligent automation throughout the company
• Build, maintain, and document RESTful APIs and integration middleware connecting internal and external systems
• Review and validate code quality, architectural decisions, and AI/automation design patterns; mentor contributors and help establish team standards as the AI practice grows
• Document systems, integrations, automation logic, and AI agent configurations to ensure maintainability, reliability, and effective knowledge transfer
• Build the foundation for and grow into leading a dedicated AI Automation & Integrations team. Including defining team scope, structure, and technical direction as the practice matures within Business Technology
• Follow all best practices and procedures as established by the Business Technology leadership.

Requirements

• BS in Computer Science, Software Engineering, Information Technology, or a related field; equivalent professional experience accepted in lieu of degree
• 7+ years of professional experience in software engineering, full-stack development, or a closely related technical discipline
• Demonstrated experience building and deploying production-grade custom applications and software integrations
• Hands-on experience working with AI/LLM APIs and building AI-powered automations, agents, or intelligent workflows
• Experience with full-stack web application development including both frontend and backend components
• Proficiency in full-stack development using Python, JavaScript/TypeScript, Node.js, and modern frontend frameworks (e.g., React, Vue)
• Hands-on experience with AI/LLM platforms, specifically Anthropic Claude and Google Gemini APIs, including prompt engineering and agentic workflow design
• Experience designing and building AI agents, multi-step automation pipelines, and intelligent workflow orchestration
• Experience working with and implementing AI MCP servers and integrations
• Strong knowledge of RESTful API design, integration patterns, and automation/iPaaS platforms; experience integrating enterprise systems such as SAP, Salesforce, Google Workspace, Slack, and Jira
• Experience with relational and non-relational database design, configuration, and management
• Familiarity with containerization (Docker), cloud infrastructure, and CI/CD workflows
• Knowledge of Git and collaborative development practices in an agile environment
• Excellent problem-solving, systems-thinking, and troubleshooting skills
• Ability to communicate complex technical concepts clearly to non-technical stakeholders across departments.