AI & Full Stack Engineer – Paid Internship

Role Overview

Unloq is building the next big AI platform to provide prescriptive intelligence for enterprise customers. We are looking for a one-of-a-kind Full Stack AI Engineer to take client problems from messy data environments to production-ready AI systems. You will work directly with the founders, owning client delivery end-to-end using agentic engineering workflows.

Responsibilities

• Designing, building, and deploying LLM-powered conversational systems, chatbots, and workflow assistants.
• Full-stack ownership including backend development with FastAPI and Python, frontend integration, and LLM orchestration.
• Engineering the LLM layer: inference pipelines, context management, evals, caching, and cost-efficient model routing.
• Connecting AI to the real world via client APIs, webhooks, MCP servers, and event-driven automations.
• Ensuring production-grade reliability using Docker, CI/CD, monitoring, and testing.
• Translating client requirements into technical specs and shipping weekly demos.

Requirements

• Strong technical degree (Master's in an AI-native program preferred).
• Serious Python and full-stack fundamentals.
• Native to agentic development (using tools like Claude Code) with the ability to review and harden AI-generated code.
• Production LLM experience involving model APIs, context management, and token economics.
• DevOps competence with Docker, CI/CD, and cloud deployment (AWS preferred).
• Client-ready communication skills for explaining technical trade-offs to stakeholders.

Skills

• Python
• FastAPI
• LLM Orchestration
• Docker
• AWS