JOB SUMMARY
The Senior Software Engineer, AI Integration is a full-stack role responsible for designing and implementing software integrations within a scientific research imaging application. This position involves working with C++ backend services, a Python pipeline processing service, and an Angular single-page application. The role requires collaboration with the AI engineering team and Product Owner to ensure integration decisions meet product requirements and user safety constraints.

Key Responsibilities
• Integrate an MCP server into a scientific research imaging application using WebSocket-based communication to expose real-time instrument state.
• Extend an Angular/TypeScript single-page application to support bidirectional messaging with external services, including reactive state management and presenting externally-proposed changes for user approval.
• Design and implement new REST API endpoints and WebSocket channels in a C++ backend service, developed against an OpenAPI contract.
• Utilize AI-assisted coding tools (e.g., GitHub Copilot) as a standard part of daily engineering practice.
• Collaborate with the AI engineering team and Product Owner on system architecture, backlog refinement, and acceptance criteria.

Required Qualifications
• Bachelor's degree or higher in Computer Science, Software Engineering, or a related engineering discipline.
• 5+ years of professional software development experience, with demonstrated delivery across multiple layers of a production software system.
• Proficiency in C++ backend service development, including REST API implementation and integration with dependency injection frameworks.
• Proficiency in building and extending Angular applications, including reactive state management, component integration, and service layer design using TypeScript.
• Experience designing or consuming REST APIs and WebSocket protocols, including OpenAPI specification and contract-first development practices.
• Ability to reason and modify code across C++, TypeScript/Angular, and Python within the same product delivery cycle.
• Fluency in using AI-assisted coding tools (e.g., GitHub Copilot) and comfort with agentic development workflows.
• Ability to work 100% onsite in Downingtown, PA.

Preferred Qualifications
• Experience developing scientific or instrument control software.
• Familiarity with Model Context Protocol (MCP), LLM function-calling, tool-use architectures, or agent-to-agent orchestration patterns.