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# AI Systems Engineer

- **Company:** Swoon Group
- **Location:** San Mateo, CA, United States
- **Experience:** Experienced
- **Salary:** $104,000.0 - $124,800.0
- **Contract:** Temporary contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Microsoft Azure, Bash Shell, Cloud Computing, Cyber Security, Computer Programming, Continuous Integration, Python (Programming Language), Windows PowerShell, Systems Integration, Large Language Models, Multi-Agent Systems, Prompt Engineering, Zapier, Git, Integration Frameworks
- **Published:** August 31, 2026
- **Apply:** https://www.dice.com/job-detail/40320c2f-e6aa-4d69-905e-1c8356b69f43

## About the Role

* AI and LLM Development - 3 years of Hands-on experience building or integrating LLM-based tools, AI agents, agentic workflows, or MCP servers using APIs such as OpenAI or Anthropic.
 * Strong Programming and Scripting - Fluency in Python, PowerShell, or Bash, supported by solid software-development practices, readable code, Git, testing, and CI/CD.
 * Systems Integration and Automation - Experience designing scalable integrations and automating employee lifecycle, identity, access, provisioning, asset-management, or other internal business processes.
 * Cloud and Security Fundamentals - Hands-on cloud experience-preferably Microsoft Azure-along with a working understanding of identity, cybersecurity, networking, storage, and secure system design.
 * Cross-Functional and Global Collaboration - Strong communication and requirements-gathering skills, including the ability to explain technical concepts to nontechnical stakeholders and work effectively with globally distributed teams.

## Description

* Build AI tools that improve how teams work by developing LLM-powered applications, agentic workflows, and intelligent automation for IT, Information Security, HR, and Legal.
 * Design and maintain custom Model Context Protocol (MCP) servers that securely connect AI agents with internal systems, data, and business processes.
 * Automate the complete employee lifecycle , expanding existing offboarding automation to streamline onboarding, leave-of-absence, provisioning, access, and asset-management processes.
 * Turn manual processes into scalable solutions by partnering with stakeholders to identify pain points, gather requirements, and build reliable automations with measurable business impact.
 * Develop production-ready integrations and automation using Python, PowerShell, or Bash within Microsoft Azure and CI/CD environments.
 * Experiment with emerging AI capabilities through proofs of concept that evaluate LLM APIs, prompt engineering, agentic systems, and integration platforms such as Workato.
 * Collaborate across global technical teams , including colleagues in Japan, to solve complex problems, communicate technical recommendations, and document architectural decisions through RFCs, runbooks, and internal guides.


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