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

12 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.