Artificial Intelligence Engineer

Grid Dynamics; Bengaluru; Hybrid; INR 1,500,000 - 2,800,000; Full time

Job summary

Grid Dynamics in Bengaluru is seeking a hands-on GenAI Full Stack Engineer to design and deliver end-to-end GenAI-powered applications. You will develop Python-based backends with FastAPI/Flask and craft responsive UIs using React/Angular/TypeScript.

You will work with LangChain/LangGraph/LlamaIndex, embeddings, and vector databases, deploying on AWS/Azure/GCP and embracing CI/CD practices. Strong communication and problem-solving are essential.

Qualifications

• Strong Python + Full Stack development experience.
• Hands-on GenAI/LLM experience.
• Good knowledge of RAG, embeddings, prompt engineering, and vector databases.
• Experience with React/Angular + JavaScript/TypeScript.
• Experience with REST APIs and cloud platforms.
• Strong problem-solving and communication skills.

Responsibilities

• Develop Full Stack GenAI applications using Python and modern frontend technologies.
• Build LLM, RAG, and Agentic AI solutions.
• Develop backend services and REST APIs using Python/FastAPI/Flask.
• Build responsive UI using React/Angular/JavaScript/TypeScript.
• Work with LangChain/LangGraph/LlamaIndex and vector databases.
• Integrate LLMs such as OpenAI, Azure OpenAI, Gemini, or Claude.
• Deploy applications using AWS/Azure/GCP, Docker, Git, and CI/CD.

Skills

Python + full stack development

GenAI/LLM

RAG, embeddings, prompt engineering

React/Angular + JS/TS

REST APIs & cloud platforms

problem solving & communication

Tools

LangChain/LangGraph/LlamaIndex

Docker

Kubernetes

AWS/Azure/GCP

FastAPI/Flask

React/Angular

TypeScript

Job description

Key Responsibilities

• Develop Full Stack GenAI applications using Python and modern frontend technologies.
• Build LLM, RAG, and Agentic AI solutions.
• Develop backend services and REST APIs using Python/FastAPI/Flask.
• Build responsive UI using React/Angular/JavaScript/TypeScript.
• Work with LangChain/LangGraph/LlamaIndex and vector databases.
• Integrate LLMs such as OpenAI, Azure OpenAI, Gemini, or Claude.
• Deploy applications using AWS/Azure/GCP, Docker, Git, and CI/CD.

Must Have

• Strong Python + Full Stack development experience.
• Hands-on GenAI/LLM experience.
• Good knowledge of RAG, embeddings, prompt engineering, and vector databases.
• Experience with React/Angular + JavaScript/TypeScript.
• Experience with REST APIs and cloud platforms.
• Strong problem-solving and communication skills.

Good to Have

• Agentic AI / Multi-Agent systems
• MCP
• LLM evaluation/observability
• Kubernetes experience