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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 solid 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. - 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. .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.