Research Engineer

About Atlys

Our mission is to enable every person on Earth to travel freely.

Travel should feel exciting. Instead, too much of it is still defined by paperwork, uncertainty, and processes that were never designed for travellers.

Atlys is changing that.

We're building an AI-first platform that removes friction and uncertainty from travel. To date, we've processed visas for 1M+ travellers across 127 countries. But we're still early.

The Role

We're looking for a Research Engineer, AI to build the models and systems that make visa processing faster, more accurate and more reliable than ever before.

You'll take ideas from research to production, testing new approaches across LLMs, agents and document intelligence, and shipping the ones that move real outcomes like approval rates, turnaround times and cost per application.

This role is for someone with a strong engineering foundation who loves going deep on hard AI problems, and who gets as much satisfaction from a system that works in production as from a clever idea.

The Job

Build AI systems that do real work by designing and shipping LLM-powered agents that reliably complete complex, multi-step tasks across external tools, APIs and web interfaces.

Push the frontier of document intelligence by building pipelines that extract, verify and reason over information from unstructured documents and images with high accuracy at scale.

Define how we measure AI quality by building evaluation frameworks, benchmarks and datasets that show how accurate, reliable and safe our models are across the long tail of real-world cases, before and after they ship.

Run experiments that change decisions by comparing models, prompting strategies, fine-tuning approaches and routing logic to improve accuracy while reducing latency and cost.

Own systems end to end by taking work from prototype to production, including data pipelines, inference infrastructure, monitoring and human-in-the-loop fallbacks for when models aren’t confident.

The Ideal Candidate

You'll likely thrive in this role if you:

Have 3-6 years of software engineering experience, including meaningful work building and shipping ML or LLM-based systems in production.

Are exceptionally strong in Python and comfortable with the modern AI stack, such as PyTorch, Hugging Face, LLM APIs, vector databases and agent frameworks.

Have hands-on experience with LLMs in practice, including prompting, RAG, fine-tuning, tool use and evals, and understand where each approach works and where it breaks.

Bring a research mindset with a bias to ship: you form hypotheses, run clean experiments, read papers when they help, and turn results into systems people use.

Have exposure to document AI, OCR, large-scale data pipelines, or making inference fast and cost-efficient at scale.

What you can expect

Atlys is built by a small team with outsized ambition, high ownership, and an obsession with doing great work.

Here's what you can expect:

Competitive compensation and equity so you participate in the value you help create.

Comprehensive health insurance covering you and your family, plus annual preventive health check-up on us.

A thoughtful leave policy with paid time off and company holidays, because great work also requires real time off.

Lunch, high tea and dinner at the office, so the basics are taken care of while we build together.

Learning & development credits to invest in courses, books, conferences and tools that help you get better at your craft.

Relocation support to make moving closer to the team as seamless as possible.

Great tools to do your best work, including high-spec equipment and software.

An office designed for more than just work, with pickleball, table tennis, PlayStation, an arcade game room, an F1 simulator and even a full flight simulator.

Our values shape how we make decisions, work together and build for travelers. The bar is high, the pace is fast, and the way we work is deliberate. Read them before you apply. If this environment energizes you, you'll probably thrive here. If it doesn't, it's better to know that upfront.

Come build the intelligence layer for global travel