AI Engineer

Easygenerator is an award-winning eLearning authoring platform that enables subject-matter experts to create, share, and manage engaging learning experiences, without needing any design or technical background.
At Easygenerator, we are leveraging AI-assisted technologies to pioneer the e-learning of the future by helping thousands of organizations globally transform how knowledge is captured and shared. Our AI team drives innovation across the product, integrating intelligent features into our learning materials creation, author enablement, end-user assessment & insights and adaptive knowledge sharing.
We are now expanding our AI Engineering team to accelerate the next phase of AI-powered learning innovation.

We are looking for experienced hands-on AI Engineers who are passionate about understanding customer pain-points and can use their deep knowledge of AI to turn innovative concepts into production-ready features.
You’ll work across the stack, from designing pipelines and integrating models to deploying and monitoring real-world AI solutions used by thousands of authors and learners worldwide.
This is not a research role, it’s about engineering and execution, building reliable, scalable, and impactful AI systems that empower our users.

What You’ll Do

• Design, develop, and deliver AI-powered features across Easygenerator’s products.

• Work with modern LLM frameworks and toolchains (LangChain, LangGraph, LangFuse, etc.) to build RAG systems, AI Agents, and dynamic authoring workflows.

• Work in a highly capable cross-functional team environment (Engineering, Product, and Design) to integrate AI seamlessly into our well architected and distributed product.

• Apply solid AI engineering principles — from planning and testing to deployment, evaluation, and continuous improvement.

• Optimize and fine-tune open-source or hosted LLMs to balance performance, accuracy, and cost.

• Contribute to LLMOps and AI observability, improving reliability, evaluation, and monitoring pipelines.

• Stay on top of emerging AI tools and frameworks, helping shape Easygenerator’s AI vision and roadmap.

• 2+ years of experience building and deploying production-grade AI applications.

• 4+ years of web application engineering experience

• Solid understanding of machine learning and deep learning fundamentals.

• Practical knowledge of LLMs, their components (tokenization, attention, embeddings, vector search), and common limitations.

• Hands-on experience with RAG pipelines, Agents, and Vector Stores.

• Familiarity with LLMOps practices — monitoring, evaluation, and feedback loops.

• Strong understanding of software engineering principles and SDLC.

• Comfortable working beyond notebooks — building APIs, services, and integrations.

• Strong understanding of high-level programming language like Python.

• Good understanding of version control, CI/CD, testing frameworks, and data handling/ETL.

• Working knowledge of Docker and containerized environments.

• Familiarity with AWS or other cloud providers. (Plus)

• Basic experience with a backend framework (e.g., FastAPI, Express.js or similar). (Big Plus)

If you’re passionate about building innovative AI solutions and shaping the future of technology, apply today!