Sr.Engineer

About this role

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Skills you'll use

What you'll do

• Design and develop scalable backend and platform services for agent orchestration, execution, evaluation, and monitoring
• Build reusable capabilities for agent lifecycle management, tool integration, prompt and model configuration, and workflow execution
• Integrate LLMs, AI agents, enterprise tools, and external systems into production-grade solutions with strong reliability and guardrails
• Develop APIs, SDKs, and platform services that enable teams to build, test, deploy, and manage intelligent agents
• Build and enhance evaluation capabilities, including offline and online evaluations, test suites, quality metrics, and agent optimization
• Develop observability capabilities for tracing, monitoring, dashboards, alerts, and debugging agent behavior
• Ensure platform capabilities meet enterprise standards for security, governance, privacy, reliability, and auditability
• Collaborate with product, data science, application engineering, and enterprise architecture teams to define and deliver platform features
• Optimize system performance, scalability, resiliency, and cost efficiency in a cloud-native environment
• Contribute to engineering standards and best practices for building GenAI and agentic systems

Who can apply

• Bachelor’s or Master’s degree in Computer Science or a related field
• 4+ years of experience in backend, platform, or distributed systems engineering
• Strong programming skills in Java, Kotlin, Go or Python
• Experience building scalable distributed systems, APIs, and microservices architectures
• Familiarity with REST APIs, event-driven systems, asynchronous processing, and cloud-native technologies
• Understanding of system design, scalability, reliability, security, and observability principles
• Experience with containers, Kubernetes, CI/CD pipelines, and modern software delivery practices
• Experience working in agile, cross-functional engineering teams

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