AI Engineer

Confirmed live in the last 24 hours

Remote People

Lisbon (Office), or Europe (remote)

Hybrid

Posted April 16, 2026

Job Description

About Remote People

At Remote People, we're building the infrastructure to power borderless teams. By handling global payroll, benefits, taxes, and compliance, our technology enables businesses to hire anyone anywhere compliantly at the push of a button.

If you're interested in adding to our vision of enabling people to work in dream jobs, for every company, and from anywhere in the world, apply now!

We're committed to building a global, diverse team representing different and varied backgrounds, perspectives, and experiences. We welcome applications from everyone, regardless of gender, ethnicity, sexual orientation, religion, civil or family status, age, or disability. Being part of Remote People means being part of a growing, international family.

We're seeking an AI Engineer with solid foundations in LLMs and applied machine learning, a product mindset, and a drive to grow fast in a high-ownership environment.

What you'll be doing

You'll be part of our Data & AI team, working closely with engineering squads and business stakeholders across a remote-first organisation spread across Asia and Europe. Your primary focus is building and shipping AI features that solve real problems — LLM-based solutions, RAG pipelines, AI-assisted workflows — integrated into our product and internal systems. You'll collaborate asynchronously and across time zones as a matter of course. AI tools are central to how we work: you'll use them to accelerate your own development, while also being someone who builds them.

Responsibilities

Develop and deploy LLM-based solutions and RAG architectures that solve real business problems
Contribute to the end-to-end lifecycle of AI features: problem framing, data preparation, modeling, evaluation, deployment, and monitoring
Work with existing data pipelines for preprocessing, feature extraction, and model inference
Integrate AI solutions into the company's cloud infrastructure, ensuring scalability, security, and performance
Collaborate with cross-functional squads to embed AI capabilities into products and internal tools
Use AI coding tools (e.g. Cursor, Claude Code, GitHub Copilot) as a standard part of your development workflow
Contribute to identifying where AI can add measurable value to business processes and products