Location : Remote / Hybrid (India Preferred)
Experience : 03- 10 years of relevant experience
Reports to : CEO / Co-founder
Type : Full-Time
Tech Stack : Python, Frappe, LangChain, Neo4j, FAISS, React.js, AWS / GCP / Azure
What You'll Do?
AI / ML Development :
- Build AI-powered student learning insights using Graph Databases (Neo4j), FAISS, Sentence Transformers, and OpenCV (ResNet-50).
- Develop Retrieval-Augmented Generation (RAG) and reinforcement learning models to personalize content and assessment.
- Research and implement multi-modal generation (text, image, voice) for highly personalized learning interactions.
- Fine-tune and optimize transformer-based models (e.g., GPT, BERT) to deliver contextual, culturally relevant learning experiences.
Backend & API Development :
Architect and build scalable backend using Frappe, FastAPI, or Django.Develop REST and GraphQL APIs to connect PAL with TAP's LMS, Glific, and content repositories.Integrate Redis and Celery to manage background inference processes.Connect with Glific APIs to power our AI-driven WhatsApp learning chatbot.Frontend & User Experience (Optional) :
Develop a React.js-based student dashboard for real-time learning insights and content delivery.Collaborate closely with our UX team to ensure intuitive and accessible design.Cloud & Deployment (DevOps) :
Deploy and scale models across cloud platforms : AWS, GCP, or Azure.Implement CI / CD pipelines (Jenkins, Cypress.io) to ensure continuous delivery and testing.Use Docker and Kubernetes for managing containerized deployments.AI-Driven Security & Automation :
Ensure data privacy and compliance by embedding AI-powered security checks.Automate personalized content delivery through NLP chatbots and AI workflows.Who You Are?
You've worked on AI / ML systems at scale, especially in EdTech, SaaS, or social impact settingsYou've built or fine-tuned models with GPT / BERT, FAISS, LangChain, or custom embeddingsYou know how to move between backend complexity and real-world deploymentYou've used tools like Zapier, N8N, or FastAPI in productionYou don't just write code - you write roadmaps, define structure, and love cross-functional collaborationBonus : You've dabbled in adaptive learning, NLP in regional languages, or multimodal AIWhat You Can Expect?
Real ownership : You'll lead architecture, experimentation, and rolloutDeep learning : Work with experienced leaders across product, pedagogy, and AIRemote flexibility : Work from anywhere, build for everywhereBold pace, clear values : We move fast, think big, and always center the childFuture leadership track : Opportunity to grow into a Tech / AI Lead role as we scaleFull transparency - Competitive salary, equity potential, and clarity on what's next(ref : hirist.tech)