Innovation Engineer (Senior Engineer Full-Stack) (Chennai)

Exeter Premedia Services Private; Chennai District; On-site; INR 1,500,000 - 2,300,000; Full time

Job summary

Kriyadocs is hiring two Innovation Engineers to form the founding R&D team. 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.

Qualifications

• 4–6 years of full-stack engineering experience with Node.js/TypeScript and a modern frontend framework (React).
• Hands-on experience building with AI tools and integrating AI-native features.
• Ability to structure loosely defined problems into testable experiments.
• Strong fundamentals: clean code, API design, testing, and good documentation.
• Experience with cloud infrastructure (AWS) and modern deployment patterns (Docker, ECS).

Responsibilities

• Build and validate POCs for AI-native features and automation workflows.
• Own the full stack from data pipelines and APIs to frontend interfaces.
• Work with AI tooling daily to deliver measurable user value.
• Graduate experiments to production-ready handoffs for Engineering.
• Evaluate emerging AI/ML tooling and SaaS platform patterns.
• Collaborate with Staff Engineer and VP of Engineering to align with architecture.

Skills

Full-stack engineering

Node.js / TypeScript

React

AI tooling

Ambiguity management

Cloud infrastructure

Tools

Node.js

TypeScript

React

AWS

Docker

ECS

Claude Code

OpenAI/Anthropic APIs

LangChain

MCP

Job description

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, 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. .