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Kriyadocs Logo Kriyadocs · IT - Software Development

Innovation Engineer

India, Chennai · Job Posted April 16, 2026
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Job Description

We are hiring two Innovation Engineers to form the founding team of Kriyadocs R&D. These are hands-on senior full-stack roles for engineers who are excited by the frontier - building POCs, validating new technologies, and graduating high-quality solutions into the core platform. You will work in a small, high-autonomy environment with a clear mandate: explore fast, validate rigorously, and ship things that matter. Your output will directly shape the future of the product.

Job Responsibility

  • Build and validate POCs - design and develop proof-of-concept solutions for AI-native features, automation workflows, and platform innovations relevant to scholarly publishing
  • Own the full stack - from data pipelines and backend APIs to frontend interfaces and integration layers
  • Build with AI tooling daily - use Claude Code, MCP servers, and agentic workflows as primary development tools
  • Graduate experiments to Engineering - produce clean, well-documented, production-worthy handoffs that Engineering squads can confidently adopt and extend
  • Evaluate emerging technologies - stay ahead of the curve on AI/ML tooling, document processing, and SaaS platform patterns relevant to the scholarly publishing domain
  • Collaborate with Staff Engineer and VP of Engineering - ensure R&D output aligns to platform architecture and strategic priorities

Requirements

  • 4 - 6 years of full-stack engineering experience with strong proficiency in Node.js / TypeScript and a modern frontend framework (React preferred)
  • Hands-on experience building with AI tools - Claude Code, OpenAI / Anthropic APIs, LangChain, MCP, or similar
  • Comfort with ambiguity - you can take a loosely defined problem, structure it into a testable experiment, and deliver a validated outcome without hand-holding
  • Strong engineering fundamentals - clean code, thoughtful API design, testing discipline, and documentation habits that make your work easy to hand off
  • Experience with cloud infrastructure (AWS preferred) and modern deployment patterns (Docker, ECS, or equivalent)
  • A bias for shipping - you move fast, learn from feedback, and iterate without losing sight of quality or production-readiness

Nice to have

  • Experience with document processing pipelines - DOCX, XML, PDF transformation, MathML, or LaTeX
  • Familiarity with scholarly publishing workflows or academic content management systems
  • Prior experience in an R&D, innovation lab, or early-stage product environment
  • Interest in or prior contributions to AI-assisted development tooling, agentic systems, or LLM application development
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