Artificial Intelligence Engineer

About GradRight

GradRight is the world’s first SaaS ecosystem that brings together students, universities and financial institutions on one platform. It enables students to find and fund high return college education, universities to engage and select the best-fit students and banks to lend in an effective and efficient manner. Our vision is to be the world’s leading Ed-Fin Tech company dedicated to making higher education accessible and affordable to all.

$ 4+ Billion

Hyderabad, Gurgaon, Bangalore, Delhi and Washington DC

At GradRight, we are transforming how students explore and access higher education abroad using technology and data. We're building smart, AI-powered tools that help match students to the best-fit universities and financial options. Join us to shape the future of student decision-making.

Role Overview

We're looking for an AI Developer who can design, build, and optimize intelligent systems like voicebots / chatbots, and recommend agents using state-of-the-art AI models and APIs. You should be comfortable working with foundation models (OpenAI, Gemma 3.0, DeepSeek R1, etc.), embeddings, vector databases, and building end-to-end AI applications that serve real users.

Key Responsibilities

1. Design and implement AI-powered systems using APIs such as OpenAI (GPT-4), Gemma 3.0, Claude, DeepSeek R1, etc.
2. Build and fine-tune bots (chat, voice, or hybrid) that can understand and respond intelligently in natural language.
3. Use vector databases (e.g., Pinecone, Weaviate, Qdrant, ChromaDB) to implement RAG (Retrieval-Augmented Generation) pipelines.
4. Generate and use embeddings to enhance semantic search, personalization, or recommendation engines.Integrate AI modules into backend systems (Python/NodeJS preferred), web apps, or mobile apps.
5. Optimize model calls and prompt engineering for cost, latency, and performance.Continuously evaluate emerging AI models and tools to keep our stack cutting-edge.
6. Work closely with product and data teams to ship AI features with real impact.

Required Skills & Experience

• Solid experience building AI-powered applications or bots using OpenAI / Claude / Gemini / DeepSeek or open-source LLMs.
• Proficiency with embeddings and semantic search use cases.Hands-on experience with vector databases like Pinecone, Weaviate, or Qdrant.Familiarity with LLMOps concepts and prompt engineering.
• Strong coding background in NodeJS (preferred) or Python.Comfortable working with REST APIs and building end-to-end pipelines.Experience deploying and monitoring AI systems in production.

Nice-to-Have

• Experience with LangChain/LlamaIndex/Haystack.Prior work with open-source models (Gemma, Mistral, Ollama, etc.).
• Exposure to CI/CD, Docker, and cloud platform (AWS).