About Growtrics Growtrics is an AI-powered EdTech company building an adaptive learning platform that helps students master Mathematics and Science through personalised, interactive, and deeply engaging experiences. We combine cutting-edge AI models, multimodal learning, and delightful product design to deliver a new category of learning outcomes.

We are expanding our backend and AI infrastructure capabilities, and are looking for an exceptional Backend Engineer who can build production-grade OCR + LLM multi-agent systems to power our automated question extraction and grading pipelines.

Role Overview

As a Backend Engineer at Growtrics, you will design and implement a multi-agent Python pipeline that converts unstructured exam papers (PDFs) into structured question-answer schemas consumable by our student app. You will work with FastAPI, LLMs, OCR/Vision models, LangChain-like agent frameworks, and scalable cloud infrastructure.

This role sits at the intersection of GenAI engineering, backend systems design, and EdTech product development.

Key Responsibilities:

Backend Engineering (FastAPI & Pipeline Architecture);

Design and implement a modular, multi-stage Python pipeline for OCR, content extraction, parsing, and structuring exam questions.
Own and productionise FastAPI microservices that interact with LLMs, OCR engines, and internal data stores.
Build robust logging, monitoring, and cost-tracking systems for all agents/stages.

GenAI, LLMs, Multi-Agent Systems:

Build multi-agent orchestration pipelines (e.g., LangChain, LlamaIndex, or custom frameworks).
Implement LLM-based content structuring, extraction, and reasoning workflows.
Model and manage agent input/output, reasoning traces, and message schemas.
Ensure outputs are consistent, structured, and generalizable across diverse exam formats.

OCR & Computer Vision:

Integrate OCR / Vision models for extraction of text and embedded images from PDFs.
Handle multimodal processing (text, diagrams, equations, tables).
Ensure reliable extraction of mathematical notation, diagrams, graph-based questions, etc.

Question Schema & Data Modelling:

Design scalable schemas representing:
Questions, sub-questions (parts a/b/c), and answer keys
Images, diagrams, and mathematical expressions
Grading metadata supporting LLM-based evaluation
Ensure output schemas serve both UI rendering & automated grading. 5. Quality, Observability & Reliability
Implement structured logging for each agent step using datetime-tagged logs.
Build the monitoring layer to track failure rates, false positives, and pipeline health.
Implement automated testing for multi-stage pipelines.

Technical Requirements:

Core Skills:

At least 4-5 years of experience in AI Engineer role.
Strong proficiency in Python 3.9+
Experience building production microservices using FastAPI
Deep hands-on experience with LLMs, prompt engineering, and agentic workflows
Understanding of OCR engines (e.g., Tesseract, PaddleOCR, Vision-Language models like GPT 5, Gemini 3 Pro, Qwen3VL etc.)
Experience with PDF parsing (e.g., pymupdf, pdfplumber, unstructured)
Familiarity with LangChain BaseMessage schemas or equivalent custom agent frameworks
Ability to structure multi-stage pipelines with clean code organisation.

Software Engineering Best Practices:

Strong in modular design, documentation, and maintainability
Experience implementing robust logs, monitoring, and analytics
Familiarity with cloud environments for scaling inference workload
Experience with CI/CD, unit tests, and integration tests
Experience working with structured/unstructured data and data modelling

Bonus Skills:

GenAI vector DBs (Pinecone, Weaviate, Chroma)
Multi-agent orchestration tools
Educational content processing or assessment system
Knowledge of math or science content is a plus (not required) What You Will Build (Example Projects) You will directly contribute to:
Automated OCR ? Question Schema ? Answer Key pipelines
LLM-powered grading systems for handwritten or digital responses
Multi-agent systems with reasoning trace logging
Scalability frameworks that enable Growtrics to ingest 10,000+ exam papers across syllabi and countries
Multimodal processing for diagrams, graphs, and equations

Why you'll love working here:

Highly competitive compensation package, including 100% salary during probation, designed to reward your talent and dedication.
13th-month salary and performance-based bonuses to celebrate your achievements and contributions.
Comprehensive Social Insurance calculated on gross salary, giving you peace of mind and full legal protection.
Generous and flexible time-off policy: 14 annual leave days + 6 sick leave days to recharge and maintain work-life balance.
Flexible working hours allowing you to manage your schedule and work in a way that suits your lifestyle.
MacBook provided, ensuring you have the tools to perform at your best from day one.
Full compliance with the Vietnam Labor Code, so you can focus on work with confidence in a fair and lawful environment.
Opportunity to collaborate directly with global stakeholders, gaining exposure to international best practices and expanding your professional network.
A workplace that truly values your well-being: regular social events, sports clubs, gym activities, and team-building programs to foster connection and fun.
Vibrant, youthful, and international culture that encourages creativity, innovation, and continuous growth.
Fully stocked pantry with a variety of snacks, milk, and beverages to keep you energized throughout the day.
Recognition and rewards based on your experience, skills, and qualifications, ensuring your contributions are appreciated and fairly compensated.
Career development and learning opportunities to help you grow personally and professionally in a dynamic, supportive environment.

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