Senior AI Engineer

Confirmed live in the last 24 hours

Remote People

Lisbon (Office), or Europe (remote)

Hybrid

Posted February 9, 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.

Overview:

We're seeking a forward-thinking Senior AI Engineer who thrives on innovation and wants to play a pivotal role in transforming the company through cutting-edge AI technologies. You will lead the charge in integrating AI across the organization, ensuring its responsible and impactful adoption.

Responsibilities:

Design and build AI solutions (with a strong focus on LLMs and modern ML) for real-world business problems.
Own the end-to-end lifecycle of AI features: problem definition, data understanding, modeling, evaluation, deployment, monitoring, and iteration.
Develop and optimize LLM-based applications (e.g. RAG, agents, chatbots, document understanding).
Participate in the design and management of data pipelines for efficient data collection, preprocessing, and analytics.
Develop and deploy AI solutions into the company’s cloud infrastructure, ensuring scalability, security, and performance.
Work closely with cross-functional teams to integrate AI capabilities into products, services, and internal tools.
Identify and prioritize areas where AI and machine learning can add measurable value to business processes, products, and operations.
Educate and guide stakeholders on the potential applications of AI, fostering a culture of innovation.