What you will own:

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



and technical standards for AI application development across the organization.
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nQualifications:

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