BigTime is looking to solve the problem of redefining how professional services firms operate by architecting and building agentic workflows that embed autonomy, reasoning, and intelligence into their AI-powered platform. The goal is to become the leading AI-driven platform guiding professional services organizations to excel in delivery, resource, and financial management and grow profitably.
Requirements
- 8+ years of software engineering experience, with strong foundations in distributed systems, SaaS architectures, and modern stacks (React, C-Sharp .NET, SQL Server, MongoDB, Redis, AWS/Azure).
- Proven experience with LLM-based systems and agentic AI workflows; hands-on familiarity with MCP, A2A, or related protocols is a huge plus.
- Comfortable moving between monolithic and distributed systems; experience migrating legacy platforms into microservices/service-based architectures.
- Strong problem-solving and debugging skills in complex environments.
- Passionate about building AI systems that are secure, auditable, and production-ready.
Responsibilities
- 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 explore bleeding-edge AI methods and bring fresh ideas into production.
Other
- Excellent communicator and collaborator—able to align technical design with business impact.
- Applicants must be authorized to work in the U.S.
- Hybrid work schedule: 2-3 days in-office per week
