Senior Gen AI Engineer

Grid Dynamics; Hyderabad, Bengaluru; Hybrid; INR 1,800,000 - 3,000,000; Full time

Job summary

Grid Dynamics in Hyderabad, India is seeking AI/Gen AI specialists to advance LLM-driven applications. The role focuses on building robust AI-powered solutions, integrating models via APIs, and ensuring reliable software delivery across services.

Collaboration with UX and backend teams will be essential to deliver scalable AI capabilities. You will work with cutting-edge tools like LangChain, LangGraph, and vector databases, while practicing responsible AI and strong software engineering

Qualifications

• Strong hands-on Python experience.
• Knowledge of Generative AI and LLMs.
• Experience building LLM-based applications.
• Familiar with Agentic AI concepts and RAG pipelines.
• Prompt engineering expertise.
• REST APIs and microservices experience.
• UI development with React/JavaScript and HTML.
• Knowledge of Git, CI/CD, testing, and software engineering best practices.

Skills

Python

LLMs

LLM apps

Agentic AI

RAG pipelines

Prompt engineering

REST APIs

UI/HTML

CI/CD

Tools

OpenAI

Azure OpenAI

Anthropic

Gemini

LangChain

LangGraph

LlamaIndex

Semantic Kernel

Vector databases

Observability

Job description

Required Skills

• Strong hands-on experience with Python
• Strong understanding of Generative AI and Large Language Models (LLMs)
• Experience developing LLM-based applications
• Good understanding of Agentic AI concepts
• Experience with RAG pipelines
• Strong knowledge of Prompt Engineering
• Experience with REST APIs and microservices
• Experience on UI (React JS / Java Script), HTML
• Good understanding of Git, CI/CD, testing, and software engineering practices

AI / Gen AI Skills

• Experience with LLM APIs such as OpenAI / Azure OpenAI / Anthropic / Gemini
• Experience with function/tool calling
• Experience building AI agents capable of performing multi-step tasks
• Experience on LangChain, LangGraph, LlamaIndex, Semantic Kernel, or equivalent frameworks
• Understanding of vector databases
• Knowledge of LLM evaluation and observability
• Understanding of AI safety, guardrails, and responsible AI practices