AI Software Engineer

Company: BigTime Software

Location: Chicago, IL, US

Salary: $105k - $110k per year

Type: Full-time

Posted: 2026-05-17

About this role

  • BigTime is looking for an experienced Software Engineer to join our AI team
  • This is a fantastic opportunity to join a high-growth SaaS company
  • As a Software Engineer, you will be working across the entire application stack
  • You collaborate extensively to design, build, and test functionality in our award-winning, cloud based system
  • This is an exciting opportunity to work side-by-side with a team of talented individuals
  • Our goal is to be the leading AI-powered platform guiding Professional Services organizations to excel in delivery, resource, and financial management and grow profitably
  • As a Software Engineer, you’ll architect and build agentic workflows that redefine how professional services firms operate
  • Using cutting-edge protocols like the Model Context Protocol (MCP) and Agent-to-Agent (A2A) collaboration, you’ll design AI systems that don’t just assist—they act, orchestrating workflows across tools, data, and teams
  • You’ll collaborate with a world-class engineering team to push beyond traditional SaaS, embedding autonomy, reasoning, and intelligence into the very fabric of BigTime’s platform
  • Design, develop, and maintain scalable Python applications and services
  • Architect MCP-based frameworks that enable LLMs to connect seamlessly with BigTime and third-party ecosystems (Salesforce, QuickBooks, Jira, Hubspot, Intacct, and beyond)
  • Design and implement agentic control planes for governance, security, and auditability—ensuring safe, explainable autonomy
  • Orchestrate multi-agent workflows using A2A patterns, allowing agents to plan, delegate, and adapt across dynamic environments
  • Benchmark agent performance with emerging standards (e.g., LiveMCP-101) to validate orchestration and execution
  • Enhance resilience and scalability by building fault-tolerant, observable, and distributed AI-driven services
  • Collaborate cross-functionally with product, data science, and platform teams to transform how professional services operate
  • Continuously...

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