Senior Software and AI Engineer

Key Responsibilities Lead the technical design, development, and delivery of production-grade AI agents, copilots, and first-party applications Translate business requirements into technical designs, weighing tradeoffs across functionality, cost, security, performance, and maintainability Design and build web applications using React, TypeScript, and modern frontend frameworks, with mobile experiences where needed Develop scalable backend services, APIs, and event-driven workflows for data processing, orchestration, and automation Integrate applications and AI agents with enterprise systems such as ERP, HRIS, MRP, DCIM, and data warehouses, directly or through Workato or other middleware Implement reliable AI workflows, including retrieval, tool use, evaluation, failure handling, and appropriate human review Own production readiness and operational quality: testing, observability, access controls, incident resolution, and performance optimization Build reusable components and engineering patterns that speed up delivery across the team Mentor engineers through design reviews, code reviews, and hands-on guidance Use AI development tools such as Cursor, Claude, GitHub Copilot, and Codex to accelerate development while maintaining quality Partner with Finance, Supply Chain, HR, Security, and Engineering stakeholders to define outcomes and deliver user-centered solutions Required Qualifications 7+ years of software engineering experience delivering production-grade applications or cloud services Strong system design skills, with the ability to architect scalable, reliable, and secure applications, AI agent workflows, and enterprise integrations Strong proficiency in one or more of TypeScript, Python, Go, Java, C#, or C++, with both frontend and backend experience Proven ability to independently own complex projects from technical design through production deployment and support Strong experience designing RESTful APIs, microservices, and event-driven architectures Hands-on experience building and deploying AI-powered applications using LLM APIs, agent frameworks, or retrieval-augmented generation (RAG) Experience with modern frameworks such as React, Next.js, FastAPI, or Node.js Experience with AWS, Azure, or GCP, containerized deployments, and CI/CD pipelines Strong understanding of application security, authentication, authorization, observability, and operational reliability Experience mentoring engineers and collaborating with technical and non-technical stakeholders