About The Role
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 settings
● You’ve built or fine-tuned models with GPT/BERT, FAISS, LangChain, or custom embeddings
● You know how to move between backend complexity and real-world deployment
● You’ve used tools like Zapier, N8N, or FastAPI in production
● You don’t just write code — you write roadmaps, define structure, and love cross-functional
collaboration
● Bonus: You’ve dabbled in adaptive learning, NLP in regional languages, or multimodal AI
What You Can Expect?
● Real ownership – You’ll lead architecture, experimentation, and rollout
● Deep learning – Work with experienced leaders across product, pedagogy, and AI
● Remote flexibility – Work from anywhere, build for everywhere
● Bold pace, clear values – We move fast, think big, and always center the child
● Future leadership track – Opportunity to grow into a Tech/AI Lead role as we scale
● Full transparency – Competitive salary, equity potential, and clarity on what’s next