Job Description

About Creditors Academy:

At Creditors Academy, we're revolutionizing financial and legal education using cutting-edge technology. We empower learners with powerful tools to understand credit, law, and sovereignty in the modern age. Now, we're building a

next-generation, AI-powered Learning Management System (LMS)

that integrates content generation, adaptive learning, and smart engagement into a single platform.

We are looking for a

high-potential AI Engineer / Machine Learning Engineer

who will be the

driving force behind the development of AI features

, AI-generated content, and ML infrastructure for our educational ecosystem.

Role Overview:

As an

AI Engineer at Creditors Academy

, you will work closely with product, design, and instructional teams to build a

smart LMS that thinks, talks, draws, teaches, and evaluates

. You will implement AI/ML models, automate content creation, and integrate third-party AI tools into the system.

This is a

hybrid role

that combines

hands-on development

,

prompt engineering

, and

AI system design

-- with end-to-end ownership of features that touch thousands of learners.

Key Responsibilities:1. AI-Powered Content Creation & Automation

Build systems that use

LLMs

(like GPT-4, Claude, etc.) to: Auto-generate

course modules, lesson plans, descriptions, quizzes

Write

AI scripts

for voiceovers, explainers, or chatbot tutors Summarize complex credit/law topics into digestible content Develop AI workflows that automate:

Comics and visual storytelling

Educational video generation

(via tools like RunwayML, Pika, Synthesia)

AI voiceovers

(via ElevenLabs, Descript, etc.)

Image generation

(via Midjourney, DALLE, Stable Diffusion)

2. AI/ML System Design & Training

Fine-tune or train models to: Deliver personalized learning journeys Analyze user progress and suggest improvements Power AI tutors/chatbots that can answer legal and credit-related queries Build AI capabilities for: AI

picture reader

(image-to-text for PDFs, legal forms, etc.)

Auto-marking and adaptive assessments

Generating dynamic learning feedback

3. LMS Development with Embedded AI

Co-develop our custom

LMS platform

with inbuilt AI tools: AI-assisted content editing Admin dashboards with analytics Student activity tracking with real-time insights Integrate AI with: Shopify for storefront automation (course sales, upsells) Stripe or Razorpay for payments Multimedia delivery systems

4. Data Engineering & Model Performance

Create structured data pipelines for: Tracking learner progress Model training (behavioral prediction, quiz scoring) Monitor, evaluate, and optimize AI model performance Ensure secure data storage, ethical AI usage, and compliance with privacy laws

Required Skills & Qualifications: Educational Background:

B.Tech / B.E. / M.Tech in Computer Science, Artificial Intelligence, Data Science, or a related field

Core Technical Skills:

Python (NumPy, Pandas, FastAPI/Flask) Machine Learning & NLP: Scikit-learn, TensorFlow, PyTorch, HuggingFace Transformers Familiarity with OpenAI, Claude, Gemini, or similar APIs Generative AI (LLMs, text-to-image, text-to-video tools) Git/GitHub, REST APIs, containerized deployments (Docker)

AI Tools Experience (Preferred):

ChatGPT, Claude, Copilot (for content) Midjourney, DALLE, RunwayML, Pika (for media) ElevenLabs, Descript, PlayHT (for voiceovers) LangChain, Pinecone, Weaviate (for retrieval-augmented generation)

Bonus Skills (Nice to Have):

Prompt engineering for educational use cases Shopify app or store integrations Web backend frameworks: Node.js, Django, or similar Experience with LMS tools (Moodle, TalentLMS, or custom LMS) Google Cloud / AWS / Azure AI services

What You Will Gain:

Lead the

AI vision

for a cutting-edge EdTech platform Hands-on access to the

latest AI tools and APIs

Creative freedom to experiment with

AI-generated education

Collaborate directly with

domain experts, designers, and founders

Competitive salary with growth-based incentives

Application Process:

To apply, send your:

Resume / CV GitHub or portfolio link (with relevant AI/ML projects) Optional: A short note describing an AI tool you've built or integrated
Job Type: Full-time

Pay: ?17,000.00 - ?25,000.00 per year

Schedule:

Day shift Monday to Friday
Work Location: In person