Senior Software Engineer

We are seeking to hire a Senior Software Engineer to our team!

Duties and Responsibilities

• Cross-Platform Integration: Design and implement robust APIs and middleware that connect AI agents to a mixed-tech stack (Node.js, .NET, Python, etc.), ensuring seamless data flow and interoperability.
• Technical Mentorship: Guide teams on best practices for integrating non-deterministic AI components into strictly typed mission-critical enterprise applications.
• Hybrid Workflow Engineering: Develop the orchestration logic that determines when a task is handled by a traditional rule-based system versus an autonomous AI agent.
• Deterministic Guardrail Design: Build 'Validation Services' that sit between AI outputs and core systems to enforce rigid business rules.
• Data-Intensive Development: Use Python and PySpark to build robust data pipelines that feed high-context information into AI models while maintaining traditional SQL-based transactional integrity.
• System Integration: Proven experience building and consuming RESTful APIs and managing service-to-service communication in a cloud environment (Azure preferred).
• Modern DevOps: Deep knowledge of Git, Azure DevOps, and containerization (Docker/Kubernetes).
• CI/CD for Systems: Establish deployment pipelines that include specialized testing for AI and interconnected components, such as prompt versioning, regression testing for model updates, and assisting with chaos-testing of logic flows.
• Agile Delivery: Lead and participate in Agile development ceremonies, manage work through DevOps tools, and maintain source control using Git-based workflows.

Skills & Work Experience

• Professional Experience: At least seven (7–10+) years of experience in software development or application engineering roles, including technical leadership responsibilities.
• Strong proficiency in SQL for complex data queries, database development, and data-driven application design.
• Strong proficiency in Python, with experience using PySpark for large-scale data processing.
• Experience designing and developing applications in cloud environments, preferably Microsoft Azure.
• Working knowledge of relational and non-relational databases.
• Experience developing RESTful APIs and integrating web services.
• Experience with source control systems such as Git and CI/CD pipelines.
• Strong understanding of SDLC methodologies including Agile and Waterfall.
• Proven ability to design scalable,