Build the futureof enterpriseAI with us.

About the Role

We are building next-generation AI-powered commerce infrastructure and intelligent platforms that help businesses become AI-agent ready. Our products combine LLMs, data pipelines, automation systems, agentic workflows, and scalable cloud infrastructure to solve real-world commerce and enterprise problems.

Key Responsibilities

• Design, develop, and deploy scalable AI/ML systems, intelligent automation pipelines, and production-grade AI services.
• Architect and optimize LLM-powered applications, including Retrieval-Augmented Generation (RAG) systems, AI agents, multi-agent workflows, and orchestration frameworks.
• Develop robust backend services and APIs using Python, Node.js, and TypeScript to support AI-driven applications.
• Integrate and manage enterprise AI models and platforms such as OpenAI, Claude, Grok, Llama, and vector database technologies.
• Build and maintain data pipelines, embedding workflows, semantic search capabilities, recommendation engines, and knowledge retrieval systems.
• Collaborate cross-functionally with product, engineering, and design teams to deliver scalable AI-first products and features.

About the Role

We are looking for curious and highly motivated AI Research Interns to work on applied AI problems involving LLMs, AI agents, semantic search, automation, and intelligent commerce systems. You will work closely with engineering and product teams to prototype, evaluate, and improve AI-driven features.

Key Responsibilities

• Research and experiment with latest AI/LLM models and frameworks.
• Assist in building prototypes for AI agents, RAG systems, and automation workflows.
• Work on prompt engineering, model evaluation, and AI experimentation.
• Analyze AI outputs and improve quality, accuracy, and reliability.
• Support dataset preparation, embeddings generation, and vector search workflows.