Tech Lead Full Stack (Backend)

HealthRecon Connect; India; Remote; INR 2,500,000 - 4,500,000; Full time

Job summary

HealthRecon Connect seeks an experienced backend engineer to develop Java/Spring Boot micro-services powering LLM and agentic workflows in production. You will own end-to-end capabilities, integrating backend services and AI workflows with intuitive web experiences.

You will ensure production reliability, observability, performance, and unit economics, including latency, token consumption, caching, timeouts, fallbacks, and failure recovery, while building automated tests and contributing to

Qualifications

• Bachelors degree in Computer Science, Engineering, Information Technology, or related technical discipline.
• 6-10 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.
• AI/ML or Generative AI certifications from recognized cloud or technology providers.
• Demonstrated continuous learning through technical contributions, open-source projects or publications

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.

Skills

Java

Spring Boot

Distributed systems

REST/gRPC

AI workflows

CI/CD

Education

Bachelor's degree in Computer Science or related

Tools

OpenAI Agents SDK

LangGraph

LangChain4j

MCP

CI/CD tooling

Job description

Role & 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.

Preferred candidate profile

• Bachelors degree in Computer Science, Engineering, Information Technology, or related technical discipline.
• 6-10 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 lifecyclefrom 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