AI/ML Full Stack Engineer (with LLM Integration Experience)

AI/ML Full Stack Engineer (with LLM Integration Experience)

We are looking for an AI/ML Full Stack Engineer who can design, develop, and deploy our AI-powered course creation system. The system will help teachers generate complete courses (descriptive text, images, videos, quizzes, and assignments) using cutting-edge AI/LLM tools and APIs.

This is a hands-on role requiring strong expertise in AI model integration and full-stack development to bring real-world impact on our platform.

Responsibilities

Design and implement an AI-driven course creation workflow for teachers.

Integrate LLM APIs (text, images, video, quizzes) such as OpenAI, Anthropic, Stability AI, ElevenLabs, etc.

Fine-tune or train models for domain-specific course generation (business/education content).

Build APIs/microservices to connect AI systems with our existing website.

Work with frontend developers to integrate AI features into the teacher dashboard.

Optimize system for scalability, performance, and cost-effectiveness.

Handle deployment, monitoring, and updates of AI features in production.

Collaborate with product team to understand course requirements and translate them into technical solutions.

Requirements (Must Have Skills)

Proven experience as an AI/ML Engineer or Full Stack Engineer with AI integration work.

Strong proficiency in Python and frameworks like FastAPI / Flask / Django.

Experience with LLM APIs (OpenAI, Anthropic, Cohere, HuggingFace, etc.).

Knowledge of image & video generation APIs (Stability AI, RunwayML, Pika, etc.).

Familiarity with fine-tuning and embeddings (RAG pipelines) for domain adaptation.

Good understanding of frontend-backend integration (React/Next.js/Vue + REST/GraphQL).

Cloud deployment experience (AWS, GCP, or Azure).

Solid grounding in databases (SQL/NoSQL) and caching systems.

Good to Have (Bonus Skills)

Experience with LangChain / LlamaIndex for LLM orchestration.

Knowledge of Docker & Kubernetes for scalable deployments.

Familiarity with MLOps pipelines (CI/CD for AI).

Understanding of prompt engineering and evaluation of LLM outputs.

Exposure to vector databases (Pinecone, Weaviate, Milvus, FAISS).

Experience in edtech / LMS platforms.

Knowledge of UX for AI-powered tools (to improve teacher experience).

Job Types: Full-time, Internship

Pay: ₹15,000.00 - ₹20,000.00 per month

Work Location: In person