Live opening · Posted 8 hours ago

Tech Lead Full-Stack (Frontend Focused)

Kerner Norland · India (Remote)
Linkedin Yes
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At a glance

The key details from the original listing.

Posted 8 hours ago
CompanyKerner Norland
LocationIndia (Remote)
Work modeYes
SkillsReact, Java, Spring Boot
SourceLinkedin
ListedPosted 8 hours ago

About the role

Description supplied by the original job listing.

Broad areas of responsibility:
• 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.
Personal Profile:
• Bachelor’s degree in computer science, Information Technology, Engineering, or related 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.
• Software Engineering Fundamentals , AI/LLM Engineering ,System Design & Architecture, Production & Reliability Mindset.
Location: IND
Shift (IST time): Straddle 3:00 PM – 12:00 PM
Work Week: Monday to Friday

Work arrangement
Yes

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