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Location
In office (Hyderabad)
Seniority
Middle · 4+ years exp
Overview
Company
Impact
Profile match
Reliance Jio, a subsidiary of Reliance Industries, is an Indian telecommunications company headquartered in Mumbai and founded in 2007. The company provides a comprehensive digital ecosystem including 4G and 5G mobile network services, high-speed fiber broadband, and a suite of digital applications for streaming, payments, and messaging. It operates the largest mobile network in India and serves hundreds of millions of subscribers through its extensive nationwide infrastructure and business solutions.

The candidate will have responsibilities across the following functions:

Architecture and Technical Leadership.

  • Architect and build complex, scalable full-stack features end-to-end.
  • Make and document key technical decisions (frameworks, patterns, APIs, data models).
  • Design robust backend services in Python and data models for performance and scale.
  • Identify and resolve performance, reliability, and scalability bottlenecks.

AI Systems:

  • Lead AI/LLM-driven feature integration into production (OpenAI, Anthropic, Gemini APIs).
  • Architect agentic workflows, RAG systems, and conversational AI features.
  • Define LLM integration patterns and best practices for the team.

Quality, SDLC, and Mentorship:

  • Drive code quality through reviews, standards, and testing strategy.
  • Shape SDLC practices and engineering standards across the team.
  • Mentor mid-level engineers on technical challenges and architecture.
  • Leverage AI coding tools (Cursor, Copilot, Claude Code) for velocity.
  • Partner closely with product and design on roadmap and scope.

Requirements:

  • 4-6 years full-stack engineering.
  • Expert in TypeScript/JavaScript and modern frontend frameworks (React preferred).
  • Strong backend expertise: Python (FastAPI/Django) and system design.
  • LLM/agentic systems integration in production (OpenAI, Anthropic, Gemini).
  • Proven experience in architecting scalable web applications.
  • Deep databases, caching, and API design at scale.
  • Track record of mentoring engineers and leading technical initiatives.
  • Strong ownership mindset and AI-first working style.
  • Event-driven and real-time architectures (WebSockets, SSE, Kafka).
  • Cloud and DevOps fluency for end-to-end ownership (AWS/GCP, Docker, K8s).
  • SDLC leadership: standards, testing strategy, developer experience.
  • Healthcare technology or health-tech startup experience.
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