Full Stack Engineer

Grid Dynamics; Hyderabad; Presencial; INR 1.200.000 - 1.800.000; Jornada completa

Descripción de la vacante

Grid Dynamics in Hyderabad, India is seeking a software engineer with 3–6 years of experience to develop and deploy cutting-edge AI-powered solutions. The role requires strong Python skills and deep knowledge of Generative AI, LLMs, and AI safety practices.

You will work with REST APIs, microservices, and modern UI stacks including React JS and HTML. Ideal candidates understand agentic AI concepts, RAG pipelines, and tooling like LangChain, LangGraph, LlamaIndex, and Semantic Kernel to build

Formación

• 3–6 years of software development experience.
• Strong hands-on experience with Python.
• Deep 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 / JavaScript), HTML.
• Knowledge of Git, CI/CD, testing, and software engineering practices.
• Experience with LLM APIs such as OpenAI / Azure OpenAI / Anthropic / Gemini.
• Experience with function/tool calling.
• Experience building AI agents capable of 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.

Conocimientos

Python

Generative AI

LLMs

Agentic AI

RAG pipelines

Prompt Engineering

REST APIs

Microservices

React JS

JavaScript

HTML

Git

CI/CD

Testing

Tool calling

LangChain

LangGraph

LlamaIndex

Semantic Kernel

Vector DB

LLM Eval

AI Safety

Herramientas

LangChain

LangGraph

LlamaIndex

Semantic Kernel

Descripción del empleo

• 3–6 years of software development experience

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
• 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