Senior Software Engineer, Iru

• 3–6 years of professional software engineering experience
• Strong proficiency in backend languages (Python, Go, or Java) and modern frontend frameworks (e.g., React, TypeScript)
• Experience integrating AI/LLM features into user-facing interfaces (e.g., chat UIs, copilots, automation workflows)
• Familiarity with prompt engineering, AI tool orchestration, or agent-based systems
• Experience building AI agents or tool-driven LLM systems
• Experience designing and building RESTful APIs and/or gRPC services
• Experience building and deploying full-stack applications on cloud platforms such as AWS or GCP
• Familiarity with service-oriented architecture and microservices patterns
• Experience working with event-driven architectures and message brokers (e.g., Kafka, RabbitMQ)
• Experience building and deploying services using Docker and container orchestration platforms such as Kubernetes or ECS
• Proficiency with databases and experience modeling data for both backend systems and frontend consumption
• Experience writing unit and integration tests
• Familiarity with CI/CD pipelines and modern deployment practices
• Ability to analyze problems, break them down, and deliver scalable solutions

Desirable

• As a Senior Software Engineer, you will play a key role in designing, building, and delivering the end-to-end systems that power IruAI
• You will work across the stack partnering closely with engineers, product managers, and designers to create reliable, scalable, and intuitive product experiences
• In this role, you will help shape modern system architectures that span frontend, backend, and data layers, ensuring high performance, security, and maintainability
• You will contribute to both platform-level services and customer-facing features, taking ownership from concept through delivery
• You will also be instrumental in integrating AI-powered capabilities into the product
• This includes working with Large Language Models (LLMs) and AI tooling to build intelligent, user-facing features (such as copilots, automation workflows, and conversational interfaces), as well as internal tools that enhance developer productivity
• Build and Maintain Full-Stack Features: Design, develop, and maintain both backend services and user-facing applications that power core product functionality end-to-end
• Contribute to System Architecture: Work across the stack to design scalable architectures spanning frontend, backend, and data layers, ensuring performance, reliability, and maintainability
• Develop AI-Powered Features: Build AI-driven capabilities that surface directly in user experiences, integrating LLM APIs into both backend services and frontend workflows
• Improve Developer Workflows: Enhance full-stack developer experience, including frontend tooling, local environments, CI/CD pipelines, and testing workflows
• Build Scalable Systems: Develop scalable systems across frontend and backend layers, optimizing performance from API to UI
• Implement Messaging and Integration Patterns: Build event-driven systems and ensure seamless integration between backend services and real-time frontend experiences
• Collaborate Across Teams: Partner closely with product managers, designers, and engineers to deliver cohesive end-to-end user experiences
• Write High-Quality Code: Maintain high standards across frontend and backend codebases, including testing, code reviews, and performance optimization
• Continuously Improve the Platform: Improve both user experience and system performance by addressing technical debt across the full stack