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