AI Engineer – Agentic Backend

📍 Location: Remote

🌍Language Requirements: Fluent English (Mandatory)

🎓Education: Bachelor's Degree in Computer Science, Software Engineering, Information Systems, or a related field.

Minimum Experience: Minimum 5 years of experience in Backend Software Engineering, with strong exposure to distributed systems, cloud-native applications, integration architectures, and scalable backend platforms.

Main Requirements

• Strong experience in Backend Software Development following modern engineering practices and design principles
• Solid knowledge of Distributed Systems, APIs, Asynchronous Processing, and Event-Driven Architectures
• Proven experience building Cloud-Native Applications and Microservices Architectures
• Experience integrating enterprise platforms through REST APIs, messaging systems, and event-based architectures
• Strong understanding of Workflow Orchestration, State Management, long-running processes, retries, and fault recovery patterns
• Experience designing resilient, maintainable, and reusable software architectures
• Knowledge of Authentication, Authorization, API Security, and secure software development practices
• Hands-on experience with cloud platforms such as Azure, AWS, or Google Cloud Platform
• Experience with enterprise integrations involving ERP, business applications, identity providers, collaboration tools, and external data sources
• Ability to collaborate effectively with cross-functional teams including AI Engineers, Product Managers, Platform Engineers, Data Engineers, and domain specialists
• Exposure to AI Agent Frameworks, workflow automation platforms, or AI-assisted engineering tools is considered a strong advantage

Nice to Have

• Experience with agentic frameworks such as LangGraph, LangChain, CrewAI, Semantic Kernel, or similar
• Experience with workflow orchestration platforms such as Temporal, Camunda, Airflow, or equivalent technologies
• Knowledge of observability tools, monitoring, tracing, logging, and telemetry solutions
• Experience contributing to AI-driven software development practices and automation initiatives

Responsibilities

• Design and develop backend services that power intelligent applications and autonomous workflows
• Build orchestration services that coordinate AI agents, business rules, enterprise APIs, and human approval processes
• Develop scalable APIs and service interfaces for web applications, automation platforms, and AI-driven systems
• Design workflow execution patterns supporting long-running business processes, retries, state persistence, approvals, and recovery mechanisms
• Integrate enterprise platforms including ERP systems, identity providers, collaboration tools, business applications, and external data sources
• Build reusable platform services for retrieval, context management, memory handling, tool execution, and business process automation
• Implement authentication, authorization, and policy enforcement across backend services and platform components
• Ensure platform observability through logging, metrics, tracing, monitoring, and telemetry
• Collaborate closely with Product Engineering, Machine Learning, Platform Engineering, Data Engineering, and Product Management teams
• Drive engineering productivity through automation, reusable platform components, AI-assisted development practices, and contributions to the Agentic Software Development Lifecycle (ASDLC)