Job Title

Toddle is a teacher-built, AI-first teaching and learning platform that goes beyond a typical LMS. We help educators streamline their entire workflow – from curriculum planning and assessments to student portfolios, gradebook, progress reports and family communication – all from one intuitive interface. In the past two years, we’ve deeply embedded AI across our entire platform to reduce teachers’ administrative workload and help them focus on what really matters: delivering meaningful, personalised instruction. Whether it’s planning lessons, assessing student work, or writing report cards, Toddle AI is built to support teachers in all their work. Today, 2,000+ schools and districts across 100+ countries use Toddle to simplify and elevate their teaching. We are backed by leading global investors, including GSV and Sequoia Capital. Here’s what you’ll be doing We are seeking a talented and mission-driven Generative AI Engineer to join our growing team. In this role, you will play a central part in architecting and building next-generation AI-powered tools for education using cutting-edge technologies such as large language models (LLMs), agentic systems, and multimodal AI. You’ll work on designing intelligent, adaptive systems that can reason, plan, and interact in dynamic educational settings. This role is deeply interdisciplinary and impact-focused: you’ll collaborate with educators, curriculum designers, and product teams to develop AI that is useful, safe, and truly supportive of learning. You’ll also have the unique opportunity to test and iterate on these tools directly in genuine educational environments, gathering real feedback from teachers, students, and parents to continuously improve the product experience. Must-have Skills: Ability to design scalable, modular, and secure AI system architectures that can support real-world use in production. Experience with cloud based model providers and their APIs (AWS, GCP, Azure)  Strong knowledge of LLM prompt design patterns, prompt chaining and failure handling. Strong debugging, testing, and optimization skills for LLM-based applications. Proficient in Python and Node.js Good to Have: Hands-on expertise in architecting complex agentic systems such as tool-using agents, memory-augmented workflows, or multi-agent coordination Understanding of Model context protocols and how to integrate them into multi-agent LLM stacks Familiarity with ethics in AI, explainability, and responsible deployment in sensitive domains like education. Familiarity with AIOps workflows and tools Is this someone that looks like you? Education: B.E/B.Tech degree Experience: 2+ years of relevant working experience (SaaS preferred) Soft Skills: Having a bias towards action, a good sense of design, empathy, and good communication skills We deeply value building the right culture at Toddle, and these are a few things that we look  for in each hire - Coach-ability, Curiosity, Ownership, Hustle, and Humility  Location: Bangalore, Onsite Excited about the role? Here are some more benefits: 1) Flexibility at work Work from anywhere – home, co-working space, cafe or even the hills Block “no-meeting hours” to enable uninterrupted focused work 2) Exposure to diverse learning opportunities Work across different projects & teams to develop skills outside of your core expertise Access to a small budget towards learning (e.g. books, online courses, substacks) 3) Industry best leave policy We trust you fully on your commitment to our mission and your judgement on planning your time and taking leaves: No cap on the number of sick or casual leaves Special paid leaves for childbirth, wedding etc. 4) No bell curve performance evaluations We put in a lot of work to hire the best, and therefore we don’t expect anyone to deliver less than the best! 5) And yes, a super fun and diverse group of folks to collaborate and grow with Still with us? Here’s the process: 1) Shortlisting: Complete the form on this page We’ll check out your application and assess it for a fit You will hear back from us within 2-3 days of the submission if shortlisted 2) Once shortlisted, we usually do about 2-3 rounds of interviews, a written assignment, and deep reference checks 3) We value everyone’s time hence we make it a point to communicate proactively at all stages of your application. You can always reach out to us for any questions