Role Overview

We are seeking a highly skilled AI Developer with a strong backend and machine learning engineering background to design, train, optimize, and deploy LLM models in on-prem and offline environments. This role is deeply technical and hands‑on, requiring expertise across Python ML stacks, model optimization, local inference frameworks, RAG (Retrieval‑Augmented Generation) architectures, MCP (Model Context Protocol) integrations, and DevOps workflows tailored for offline systems. You will work closely with our engineering and product teams to build end‑to‑end LLM pipelines—including data preprocessing, supervised fine‑tuning, model quantization, evaluation, RAG pipeline design, and deployment using local or air‑gapped infrastructure. If you enjoy working with cutting‑edge open‑source LLMs, building context‑aware AI systems, and designing reliable backend pipelines, this role is for you.

Key Responsibilities

Core LLM Development

• Tra...