Software Engineer II - AI

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.
• Oversee operations by deploying, managing, and troubleshooting Docker-based and serverless environments.
• Work with DevOps engineers to manage and deploy new tools as required.

What Youll Bring

• 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 building RAG knowledge bases, MCP Servers, and API integration patterns.
• Experience leveraging 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.