Senior Software Engineer – AI

Primary Duties/Responsibilities

• Design, develop, test, maintain, and improve AI systems and web-based business applications.
• Develop and support generative AI solutions, including RAG systems, agentic workflows, tool calling, agents and skills, prompt and context engineering, MCP servers, vector databases, semantic search, and large-scale document ingestion and retrieval.
• Integrate software systems, application components, and third-party programs.
• Collaborate with software developers, business analysts, software architects, vendors, and other stakeholders to plan, design, develop, test, and maintain applications.
• Apply application architecture knowledge to guide technical decision-making and problem-solving.
• Design and implement observable, high-throughput RESTful APIs and integrations.
• Produce clean, efficient, well-designed, and testable code based on established specifications and standards.
• Design, develop, and unit test applications in accordance with established development standards.
• Participate in code reviews and mentor and assist other developers in applying software development best practices.
• Analyze, troubleshoot, and resolve technical and application issues.
• Develop and maintain technical documentation to support current and future software development projects.
• Work effectively within legacy application architectures when required.
• Collaborate across teams to meet changing priorities and deadlines while proactively identifying issues and developing long-term solutions.
• Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field/or proven equivalent experience demonstrating the skills and knowledge required for the role.
• Minimum of seven years of demonstrated experience working with the Microsoft technology stack, including C#, .NET Core, Web API, SQL Server, and Azure cloud infrastructure.
• Minimum of three years of experience with generative AI technologies is required, including RAG, tool calling, agents and skills, prompt and context engineering, vector databases, semantic search, MCP, and large-scale document ingestion and retrieval systems.