AI Engineer - Agentic Backend

We are building an AI-native procurement platform where intelligent applications, autonomous agents, and business workflows operate as a single system. This role is responsible for designing and building the backend services that power those capabilities, translating procurement processes into scalable, reliable, and observable software. 

You will build the orchestration layer that connects AI agents, business logic, enterprise systems, APIs, and workflow automation. Rather than focusing on traditional CRUD applications, you will develop systems that coordinate long-running business processes, manage state, execute tools, integrate enterprise platforms, and enable human-in-the-loop decision making. 

This is a senior engineering role requiring strong backend engineering fundamentals combined with a pragmatic approach to modern AI application development. 

Responsibilities 

• Design and develop backend services supporting intelligent procurement applications and autonomous workflows.
• Build agent orchestration services that coordinate AI agents, business logic, enterprise APIs, and human approvals.
• Develop scalable APIs and service interfaces used by web applications, automation workflows, and AI agents.
• Design workflow execution patterns supporting long-running processes, retries, state management, approvals, and recovery.
• Integrate enterprise platforms including procurement systems, ERP platforms, identity providers, collaboration tools, and external data sources.
• Develop reusable services for retrieval, context assembly, tool execution, memory management, and business process automation.
• Implement secure authentication, authorization, and policy enforcement across platform services.
• Ensure backend services are observable through logging, metrics, tracing, and operational telemetry.
• Collaborate closely with Product Engineering, Machine Learning, Platform Engineering, Data Engineering, and Product Management to deliver end-to-end platform capabilities.
• Continuously improve engineering productivity through automation, reusable components, AI-assisted development, and contributions to the Agentic Software Development Lifecycle (ASDLC). 

Requirements 

• Experience developing backend applications using modern software engineering practices. 
• Solid understanding of distributed systems, APIs, asynchronous processing, and event-driven architectures.
• Ability to buil scalable cloud-native applications and microservices. 
• Track record in integrating enterprise applications through REST APIs, messaging platforms, and event-based architectures.
• Software design skills with an emphasis on maintainability, resilience, and reusable architecture. 
• Expertise in designing systems that manage workflow state, long-running processes, retries, and fault recovery.
• Understanding of authentication, authorization, API security, and secure software development.
• Comfortable working alongside AI engineers, product managers, platform engineers, and domain specialists in cross-functional teams.
• Experience using AI-assisted engineering tools to improve software delivery is highly desirable.