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