Backend Engineer (Data Science)

About ReNote AI

ReNote AI is an AI and sustainability-driven startup building an integrated Paper + Pen + AI ecosystem — a Smart Reusable Notebook, a GPT-powered Pen, and an AI SaaS App that converts handwritten notes into structured, usable digital data.

Our Milestones:

• Selected among Top 100 Mobile Applications in India by Google & MeitY (2023)
• Featured at NorthStar GITEX Dubai under Government of India Pavilion (2024)
• Featured at Osaka World Expo Japan under Government of India Pavilion (2025)

About the Role

We are looking for a Backend Engineer to join our engineering team at ReNote AI. The role is primarily focused on backend development, with a secondary focus on Data Science — specifically in areas that power our core product: OCR, NLP, and data pipelines for handwriting digitization.

You will work on:

• Backend APIs and services built with FastAPI
• PostgreSQL database design and management
• Integrations with our React frontend and Native mobile apps (Kotlin & Swift)
• Data pipelines, OCR/handwriting recognition, and NLP workflows

Responsibilities

Backend Development

Design, build, and maintain RESTful APIs using FastAPI and Python.

• Work with PostgreSQL — write efficient queries, manage schemas, and handle migrations.
• Collaborate with frontend (React) and mobile (Kotlin/Swift) teams on API contracts and integrations.
• Build and maintain backend services for: o ReNote web application o Native iOS & Android apps o GPT Pen device data sync
• Write clean, testable, and well-documented code.
• Participate in code reviews and contribute to engineering best practices.
• Debug and resolve production issues.

Data Science & Analytics

Build and maintain data pipelines to process handwriting scan data at scale.

• Integrate and support OCR and handwriting recognition models within backend services.
• Contribute to NLP tasks including: o Text extraction and structuring from handwritten notes o Summarization, grammar correction, and translation o Tagging and classification of note content
• Build analytics pipelines to support product and business insights.
• Assist with model deployment and API-based serving.

Required Skills & Qualifications

1–2 years of hands-on experience in backend development with Python.

• Proficiency in FastAPI or similar frameworks (Flask/Django acceptable).
• Working knowledge of PostgreSQL — writing queries, indexing, basic schema design.
• Solid understanding of REST API design principles and best practices.
• Basic familiarity with Machine Learning concepts and Python data science libraries:

o NumPy, Pandas, Scikit-learn

• Exposure to OCR tools or NLP libraries:

o OCR: Tesseract, EasyOCR, or similar

o NLP: spaCy, HuggingFace Transformers, or similar

• Understanding of SDLC and Agile/Scrum methodology.
• Comfortable working with Git and collaborative development workflows.
• Strong analytical and communication skills.

Good to Have (Bonus):

Experience with data pipeline or workflow orchestration tools.

• Familiarity with cloud platforms (AWS, GCP, or Azure).
• Exposure to Docker and containerized deployments.
• Knowledge of mobile API patterns for Android (Kotlin) and iOS (Swift) apps.
• Experience with vector databases or semantic search (e.g. Pinecone, pgvector).
• Familiarity with CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins).
• Experience with performance testing or load testing.
• Prior startup experience — ability to move fast and wear multiple hats.