Tech Lead Full Stack (Backend)

Roles and Responsibilities:

• Develop Java/Spring Boot micro-services that power LLM and agentic workflows in production
• 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.

Eligibility Criteria:

• Bachelor’s degree in Computer Science, Engineering, Information Technology, or related technical discipline.
• 6+ years of production Java/ Spring Boot, Python 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.
• AI/ML or Generative AI certifications from recognized cloud or technology providers.
• Demonstrated continuous learning through technical contributions, open-source projects pr publications.