Meight is a seed-stage tech startup based in Portugal that just raised €3.5 million to make a dent in the Road Freight industry. We’re building the first data-powered platform for Road Freight, a vertical software solution for small Road Freight carriers.

Road Freight is the largest distribution channel in the world. The $5 trillion industry is expected to double in the next 30 years. Road Freight has been a key enabler for humanity for the last century and is now facing disruptive challenges in sustainability, efficiency, and technology adoption.

We help Road Freight teams make a leap from being low-value employees spending time putting out fires and being single points of failure to adding value to operations where they interact with AI systems to build up company knowledge and market differentiation. A turn-key SaaS solution with no implementation costs and no lengthy ad-hoc customizations that allows small carriers to become digital at a fraction of the cost of an on-premise ERP or Transport Management System (TMS).

Position Overview

We are seeking a Data Scientist / LLM Engineer to join our fast-growing team. This role blends traditional data science with modern Large Language Model (LLM) development and deployment, offering a unique opportunity to shape the AI foundation of Meight’s product.

You’ll play a key role in:

• Designing and evaluating LLM-driven systems,

• Building data and evaluation pipelines,

• Architecting model integrations within our SaaS platform, and

• Developing predictive and prescriptive analytics to transform road freight operations.

This is a hands-on position with strong growth potential — the ideal candidate is excited to pioneer AI infrastructure in an industry ready for disruption.

Responsibilities

LLM & AI Systems Development

• Architect and prototype LLM-based features that power automation, copilots, and decision-support tools for freight operations.

• Design model evaluation frameworks (e.g., qualitative evals, automated benchmarks, user-in-the-loop testing).

• Fine-tune and/or orchestrate LLMs (open-source or API-based) for domain-specific tasks.

• Build scalable pipelines for data preparation, prompt optimization, and model monitoring.

• Collaborate with engineers to deploy and maintain LLM components in production environments.

Data Science & Machine Learning

• Collect, clean, and preprocess structured and unstructured data from multiple sources.

• Perform exploratory data analysis to uncover insights and inform product development.

• Build, validate, and deploy predictive models to improve operational efficiency.

• Monitor model performance and retrain as needed for sustained accuracy.

Collaboration & Communication

• Work closely with product and engineering teams to translate business challenges into technical solutions.

• Communicate complex data and AI concepts in a clear, actionable manner to stakeholders.

• Mentor team members in modern ML and LLM practices.

Continuous Improvement

• Stay current with the latest research in LLMs, AI infrastructure, and applied machine learning.

• Identify opportunities to integrate emerging AI capabilities into Meight’s product roadmap.

• Promote a culture of experimentation, evaluation, and data-driven innovation.

Qualifications

• Bachelor’s or Master’s degree in Data Science, Computer Science, AI/ML, or related fields (Ph.D. a plus).

• Proven experience in data science, NLP, or applied machine learning roles.

• Hands-on experience with LLM technologies (e.g., OpenAI, Anthropic, Mistral, Llama, Hugging Face, LangChain, etc.).

• Strong programming skills in Python and familiarity with SQL, PyTorch, or TensorFlow.

• Experience designing evaluation frameworks, building data pipelines, and working with vector databases (e.g., Pgvector, Pinecone, …).

• Excellent problem-solving, communication, and collaboration skills.

Compensation:

• Competitive compensation package up to €60.000

• Comprehensive health and wellness benefits.

• Professional development opportunities and mentorship programs.

• A dynamic and inclusive work environment with a focus on innovation

• Work-from-anywhere policy