Senior AI Software Engineer

About the role

About Our Client:The organization operates in the location analytics industry, providing a platform that offers detailed insights into physical locations, markets, and consumer behavior. It addresses the challenge of understanding complex real-world environments by delivering advanced location intelligence while prioritizing user privacy. The company serves a diverse client base including major corporations, local governments, and nonprofits, and has achieved rapid growth with significant market valuation and revenue milestones, reflecting strong demand for its solutions.

About the Opportunity:The SENIOR AI SOFTWARE ENGINEER will be responsible for building and enhancing the organization's internal AI platform that drives operational efficiency across teams. This role focuses on developing intelligent agents, integrations, and automation tools that transform manual processes into automated workflows, significantly boosting productivity. By leveraging AI technologies and collaborating across multiple departments, the position plays a critical role in embedding advanced AI capabilities throughout the company.

Responsibilities

• Architect and develop AI agents capable of executing complex multi-step workflows autonomously or with human oversight.
• Design and implement secure tool and context layers to enable agents to access and interact with various internal systems and external SaaS platforms.
• Build and deploy MCP servers for both external integrations and custom internal tools.
• Develop OAuth and credential management infrastructure to support secure connector authentication at scale.
• Collaborate with R&D Architecture to establish and enforce production standards for MCP servers.
• Manage triage and prioritization of integration requests and bug reports, guiding teams on self-service versus engineering support.
• Create and maintain plugins and AI skills to extend AI capabilities for targeted workflows, automating repetitive tasks.
• Own and improve the internal BI environment on Databricks, including data cleaning, pipeline development, and optimization for AI use.

Requirements

• Experience designing and implementing AI agents with complex reasoning and multi-step workflow capabilities.
• Proficiency in building secure integrations with multiple SaaS platforms and custom internal systems.
• Strong skills in authentication protocols, particularly OAuth and credential management.
• Ability to define, apply, and maintain engineering standards for scalable, secure production systems.
• Experience managing integration triage processes and collaborating across teams.
• Expertise in developing plugins and AI skill sets to automate business processes.
• Background in data engineering and platform management, especially with Databricks or similar BI tools.