Job Description

About O-HIVE

O-HIVE is Luxolis' spatial vision intelligence platform that combines real-time 3D capture with AI-powered understanding and contextual reasoning. We are building

LLM-driven interfaces

that allow users to query, train, and interact with spatial data, detection results, and historical context through natural language.

Role Overview

We are looking for a

hands-on Senior Full Stack Developer

with deep interest in

LLMs, AI chat systems, and training pipelines

. You will design and implement conversational AI interfaces, data pipelines for fine-tuning and RAG, and tools that allow users to train and evaluate AI models on proprietary spatial and industrial data.

This role sits at the intersection of

LLMs, product UX, and scalable backend systems

.

Key ResponsibilitiesLLM & AI Chat Systems

Build

LLM-powered chat interfaces

for querying 3D scenes, detection results, logs, and reports Implement

context-aware chat

(history, sessions, projects, spatial metadata) Design prompt pipelines, tool calling, and agent workflows Integrate commercial and open-source LLMs (OpenAI, Anthropic, LLaMA, etc.)
AI Training & Data Pipelines

Build pipelines for: Dataset curation, labeling, and versioning Fine-tuning and instruction tuning RAG (retrieval-augmented generation) over structured + unstructured data Implement evaluation workflows for accuracy, hallucination, and performance Enable

human-in-the-loop training

and feedback collection
Frontend

Develop modern AI chat UIs (React, TypeScript) Build interfaces for: Training data management Prompt and model configuration Evaluation and analytics dashboards Focus on usability for technical and non-technical users
Backend & Platform

Design scalable APIs for AI chat, training jobs, and inference Manage vector databases and embeddings (FAISS, Pinecone, Weaviate, etc.) Implement async job systems (queues, workers) for training and evaluation Ensure security, access control, and enterprise-grade data isolation
Required Qualifications

5+ years of experience in

Full Stack Development

Strong proficiency in:

Frontend:

React, TypeScript

Backend:

Python (FastAPI preferred) and/or Node.js Hands-on experience building

LLM or AI chat applications

Understanding of: Prompt engineering RAG architectures Fine-tuning workflows Experience with production SaaS systems
Preferred / Nice-to-Have

Experience training or fine-tuning LLMs Familiarity with LangChain, LlamaIndex, or similar frameworks Experience with vector databases and embedding pipelines Background in

industrial data, 3D, robotics, or computer vision

Experience building internal AI tools or copilots
Job Type: Full-time

Pay: ₹500,000.00 - ₹1,300,000.00 per year