About Us

At Glide Brands, we identify, build, and scale premium brands across categories.

Glide

Group operates through three legal entities engaged in online and offline distribution of Beauty, Personal Care, and Wellness categories along with B2B enterprise supplies. We are in a high-growth phase focused on scaling operations, strengthening financial governance, and building data-driven decision systems.

- AI & LLM Fundamentals — Core Concepts Understanding of transformers, tokens, embeddings, neural networks, and prompt engineering.

AI & ML Frameworks: Familiarity with Python, NumPy, Pandas, Scikit-learn, PyTorch, or TensorFlow.

GenAI Frameworks: Ability to build with LangChain, LlamaIndex, or Hugging Face Transformers.

- Specialized AI Architectures RAG (Retrieval-Augmented Generation): The ability to connect models to proprietary data using document parsing, embeddings, and Vector Databases (e.g., Pinecone, FAISS, or ChromaDB).

Agentic Workflows:



Knowing when and how to build autonomous systems or controlled multi-step AI workflows. 3.

Core Full Stack Engineering Frontend: HTML, CSS, JavaScript, and frameworks like React.js or Next.js.

Backend: Proficiency in Node.js or Python (specifically frameworks like FastAPI or Flask to serve AI inferences).

Databases: Mastery of both relational (SQL) and non-relational (NoSQL) databases.

API Development: Experience building and consuming RESTful APIs and GraphQL.

- Integration, Deployment & MLOps API Integrations: Connecting third-party AI APIs (OpenAI, Anthropic, Google Gemini) to web applications.

LLMOps & Monitoring: Skills to track costs, latency, hallucinations, and model drift using tools like Helicone or LangSmith.

DevOps & Cloud: Familiarity with Docker, CI/CD pipelines, and cloud platforms (AWS, GCP, or Azure) to host and scale AI models.

📌 Full Stack Developer (Mumbai)
🏢 Glide Brands
📍 Mumbai