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이그나이트 Tech Stack

AI-powered mobility platform leveraging LLMs and RAG systems

Software Development 성남시 분당구, 경기도 11–50 employees Founded 2022 Privately Held

Ignite builds AI-driven services for future mobility ecosystems, with a tech stack centered on LLM orchestration (GPT, Claude, Gemini, LLaMA) and retrieval-augmented generation (LangChain, LlamaIndex, Neo4j). Active work on LLM accuracy, RAG deployment, and LLM agent development signals they're moving beyond prompt-chaining toward production-grade agentic systems. The hiring mix—engineering-focused with mid and senior-level roles—and the parallel effort to re-architect legacy services suggest they're scaling engineering capacity to handle model complexity and operational cost challenges.

Tech Stack 13 technologies

Core StackJava Kotlin Python AWS RAG LangChain Neo4j GPT Claude Gemini LLaMA LlamaIndex GraphDB

What 이그나이트 Is Building

◆Challenges

Re-architecting legacy services
Improving llm accuracy and reliability
Optimizing llm operational costs
Operating llm at scale
User pain points

▲Active Projects

Admin page development and improvement
Service architecture design and launch
Llm accuracy improvement
Rag system deployment
Llm agent development
Msa re-architecting
Hyundai kia partnership project

Hiring Activity

Accelerating5 roles · 3 in 30d

Department

Engineering

Product

Seniority

Mid

Senior

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About 이그나이트

Ignite is a South Korea–based startup founded in 2022 that develops AI-enhanced services for the emerging mobility ecosystem. The platform integrates multiple large language models and knowledge-graph technologies (Neo4j, GraphDB) to deliver personalized user experiences. Core workstreams include LLM accuracy tuning, RAG system deployment, and microservice re-architecture to improve operational efficiency at scale. The company operates a partnership with Hyundai-Kia and is actively hiring engineers and product roles in South Korea.

Headquarters성남시 분당구, 경기도

Company Size11–50 employees

Founded2022

Hiring MarketsSouth Korea

Frequently Asked Questions

What's Ignite's tech stack?

Ignite uses Java, Kotlin, and Python for backend services, AWS for infrastructure, and a multi-model LLM stack (GPT, Claude, Gemini, LLaMA) with RAG frameworks (LangChain, LlamaIndex) and graph databases (Neo4j, GraphDB) for knowledge retrieval and reasoning.

What is Ignite working on?

Active projects include LLM agent development, RAG system deployment, LLM accuracy improvement, service architecture redesign, microservice re-architecture, admin page development, and a Hyundai-Kia partnership initiative.