Planview is looking for a skilled Software Engineer II – AI to help drive successful AI adoption and operational excellence by collaborating closely with business stakeholders. In this role, you will work
alongside Data Scientists, DevOps, and business partners to develop and scale reliable infrastructure, implement seamless integrations with internal and external data platforms, and support users throughout the organization.
Work with business stakeholders to enable successful AI adoption.
Develop connectors leveraging MCP or third-party APIs to enable new integrations.
Prioritize and execute integrations with internal and external data platforms.
Collaborate with other engineers to expand AI capabilities.
Establish and monitor uptime metrics, set up alerts, and follow a proactive maintenance
schedule.
Exposure to operations, including Docker-based and serverless deployments and
troubleshooting.
Work with DevOps engineers to manage and deploy new tools as required.
Bachelor’s degree in computer science, Data Science, or related field.
4+ years of experience in infrastructure engineering, data integration, or AI operations.
Strong Python coding skills.
Experience configuring and scaling infrastructure for large user bases.
Proficiency with monitoring tools, alerting systems, and maintenance best practices.
Hands-on experience with containerized and serverless deployments.
Ability to code connectors using MCP or third-party APIs.
Strong troubleshooting and support skills.
Experience with building RAG knowledge bases, MCP Servers, and API integration patterns.
Experience levearging AI (LLMs) to boost productivity and streamline workflows.
Exposure to working with business stakeholders to drive AI adoption and feature expansion.
Familiarity with MCP server support and resilient feature design.
Skilled at working as part of a global, diverse workforce.
AWS Certification is a plus.
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