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Sr.Engineer
Target
Bengaluru, IND
Full-time
Senior · 4+ years experience
Onsite
Discovered 3 weeks ago
JavaKotlinGoPythonREST APIsKubernetes
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Job Id: R0000437730
- 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
- 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
- Experience with AI/ML or GenAI systems, including LLM integrations and agent-based applications
- Familiarity with agent orchestration frameworks, tool calling, prompt management, and multi-agent systems
- Experience building evaluation frameworks for LLMs or AI agents
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