Develop Java/Spring Boot micro-services that power LLM and agentic workflows in production and build responsive web interfaces using frontend frameworks such as React.
Build end-to-end application capabilities, integrating backend services and AI workflows with intuitive web-based user experiences.
Own production reliability, observability, performance, and unit economics, including latency, token consumption, caching, timeouts, fallbacks, and failure recovery.
Build automated unit, integration, API, and end-to-end tests and contribute to CI/CD and production-readiness practices.
Work closely with Product, Platform, Security, QA, and Governance teams throughout architecture, design, implementation, and release reviews.
Develop agentic workflows using frameworks such as OpenAI Agents SDK, Claude Agent SDK, LangGraph, Spring AI, or LangChain4j, and integrate enterprise tools through MCP and APIs.
Qualifications/Criteria:
Bachelor’s degree in Computer Science, Engineering, Information Technology, or related technical discipline.
6+ years of production Java/ Spring Boot, distributed-systems fundamentals: REST/gRPC,
Proven experience building end-to-end applications, with deep backend expertise and working knowledge of modern frontend technologies and frameworks.
Experience building RAG and agentic AI workflows, including retrieval, tool/function calling, orchestration, context management, and human-in-the-loop patterns.
Experience owning applications through the complete engineering lifecycle—from design and development to CI/CD, deployment, monitoring, troubleshooting, and production support.
Experience integrating applications and AI agents with enterprise APIs, tools, data sources, and MCP-based services.
Strong foundation in software engineering, distributed systems, data structures, algorithms, and system design.
Nice to have: AI/ML or Generative AI certifications from recognized cloud or technology providers.
Demonstrated continuous learning through technical contributions, open-source projects pr publications.
Key Requirements & Skills
Bachelor's degree in Computer Science, Engineering, Information Technology, or related technical discipline
6+ years of production Java/Spring Boot and distributed-systems fundamentals (REST/gRPC)
Proven experience building end-to-end applications with deep backend expertise and working knowledge of modern frontend frameworks
Experience building RAG and agentic AI workflows, including retrieval, tool/function calling, orchestration, context management, and human-in-the-loop patterns
Experience owning applications through the complete engineering lifecycle: design, development, CI/CD, deployment, monitoring, troubleshooting, and production support
Experience integrating applications and AI agents with enterprise APIs, tools, data sources, and MCP-based services
Strong foundation in software engineering, distributed systems, data structures, algorithms, and system design
Demonstrated continuous learning through technical contributions, open-source projects or publications
AI/ML or Generative AI certifications from recognized cloud or technology providers
Frequently Asked Questions
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Salary details will be discussed during the interview.
