What you will own:
Experience Layer Engineering: Build and own AI platform interfaces, SDKs, developer tools, playgrounds, and reference applications.
AI-Native User Experiences: Design modern AI interaction patterns including streaming responses, agent workflows, tool calls, citations, human review, and graceful failure handling.
Backend Services & Orchestration: Develop APIs, retrieval pipelines, model orchestration, caching, rate limiting, observability, and integration services.
Quality & Evaluation: Instrument applications with tracing, evaluation frameworks, feedback capture, and quality measurement to continuously improve user outcomes.
Cross-Functional Delivery: Partner with Platform, ML, Product, and Infrastructure teams to establish best practices for AI product development.
Engineering Excellence: Contribute reusable patterns, documentation, code reviews,



and technical standards for AI application development across the organization.

Qualifications:
5 to 8 years building and shipping production-grade full stack applications.
Strong front-end expertise with TypeScript and React.
Backend experience with Node.js, Python, or Golang.
Experience designing scalable APIs and cloud-native services.
Robust product mindset with attention to user experience, latency, reliability, and error handling.
Hands-on experience building with LLMs, including APIs, streaming, RAG, tool usage, agents, or conversational AI.
Ability to thrive in ambiguous, quick-moving environments and deliver independently.
Robust communication skills and a collaborative working style.

📌 Full Stack Developer Hiring For Fortune 100 Client Hyderabad
🏢 TechnoGen
📍 Hyderabad