About Kriyadocs
Kriyadocs is a SaaS platform purpose-built for the scholarly publishing domain. We work with some of the world's leading academic publishers and societies, powering the end-to-end publishing workflow - from manuscript ingestion through editorial review, production, typesetting, and delivery.
We are building a dedicated R&D vertical to explore the next generation of capabilities for our platform - AI-native features, intelligent automation pipelines, and new product bets. This is where that work begins.
The Role
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.
What You Will Do
- 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; you are comfortable across the entire system.
- Build with AI tooling daily - use Claude Code, MCP servers, and agentic workflows as primary development tools; design features that leverage LLMs for real, measurable user value.
- 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.
What We Are Looking For
- 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; you don't just use these tools, you build systems with them.
- 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.
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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.
