AI Engineer (Early Career)

Role Summary

About Lingopal

Lingopal builds real-time AI language technology, with a live translation product used in production today. We're now building our next product — an AI agent platform aimed at enterprises with heavy customer-support needs (hospitality, airlines, travel) and fast-scaling AI-agent companies.

We're looking for an early-career AI Engineer — a fresh grad or someone with limited professional experience but an unmistakable passion for building. You'll work alongside our founding team and Tech Lead on our new AI agent product, ship real features quickly, and be encouraged to form and voice your own opinions about where the product should go.

Responsibilities

• Build and ship product features across the stack on our new AI agent product.
• Prototype fast, learn from pilot customers, and iterate.
• Bring your own point of view on product direction — we want engineers who think like owners, not ticket-takers.
• Work hands-on with LLMs, agents, and voice AI, and use modern AI coding tools daily.

Requirements

• Fresh grad or early-career engineer with limited professional experience.
• A passionate builder — a portfolio of projects, side-projects, hackathons, or open source that shows you love to make things.
• Solid engineering fundamentals and eagerness to learn fast.
• Own opinions on product and a strong sense of ownership.
• Comfortable with ambiguity and a fast, low-process environment.

About the Company

ABOUT MOONLAKE

Moonlake is building the frontier of interactive world models: systems that generate, simulate, and reason over 3D environments for embodied AI, robotics and gaming. We develop the simulation infrastructure to build worlds (e.g., assets, scenes, digital twins) at scale.

Our team sits at the intersection of

Moonlake is building the next generation of AI infrastructure for interactive digital worlds. Our mission is to enable anyone to create, simulate, and interact with rich environments using natural language and multimodal inputs, turning simple ideas into worlds with structure, logic, and agents that can perceive and act.

Our team has raised $28M in seed funding from NVIDIA Ventures, Threshold Ventures, AIX ventures and notable angels including Naval Ravikant and Jeff Dean to build the foundational layer for the future of AI - powering everything from creative tools and games to robotics training, simulations, and digital twins. Our goal is to make building and experimenting with these environments as accessible and scalable as publishing video on the internet.

We are looking for exceptional research engineers and applied researchers to help push the frontier of interactive AI.

Embodied AI

Robotics simulation

Interactive 3D worlds

World models

Real-time generation

AI infrastructure