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Tech Lead Full-Stack

HealthRecon Connect
Remote - India
Full-time6+ yrs
1d ago0 view0 clicked apply

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Responsibilities:


  • 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.



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