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Senior AI Engineer (4-6 Years) - Hybrid

KWAN Portugal
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AI Summary

Architect, build, and optimise end-to-end AI pipelines for scalable production solutions. Develop, fine-tune, and deploy machine learning and deep learning models with MLOps practices. Collaborate with cross-functional teams to deliver AI-driven solutions aligned with strategic goals.

Key Highlights
Senior AI Engineer role with 4-6 years experience
End-to-end AI pipeline development and optimisation
MLOps, CI/CD, and model monitoring expertise required
Key Responsibilities
Architect, build, and optimise end-to-end AI pipelines
Develop, fine-tune, and deploy machine learning and deep learning models
Implement AIOps and MLOps practices including CI/CD workflows
Monitor, benchmark, and continuously optimise AI models and services
Collaborate with cross-functional teams to deliver AI-driven solutions
Technical Skills Required
Artificial Intelligence Machine Learning Deep Learning Large Language Models MLOps Amazon Web Services
Benefits & Perks
Competitive salary with awesome benefits
Opportunities to leverage knowledge and network for additional income
Empowering and respectful work culture with social and learning events
People Experience Partner assigned for career guidance and work-life balance
Nice to Have
Knowledge of model comparison, security, privacy, FinOps, model quality, output validation, and guardrails

Job Description


Lisbon, Portugal; Porto, Portugal; Braga, Portugal

Senior (4-6 Years)

Hybrid

English and Portuguese Required Relocation Package Available

We are looking for an AI Engineer from Brasil who's eager to embark on an exciting new opportunity work in Portugal!

What Is This Challenge About

  • Architect, build, and optimise end-to-end AI pipelines, transforming complex requirements into scalable and production-ready solutions;
  • Develop, fine-tune, and deploy machine learning and deep learning models, ensuring strong performance and seamless integration into digital platforms;
  • Implement AIOps and MLOps practices, including CI/CD workflows for AI systems, automated training pipelines, and lifecycle management;
  • Monitor, benchmark, and continuously optimise AI models and services for efficiency, accuracy, and real-time performance in large-scale environments;
  • Collaborate with cross-functional teams such as software engineers, data specialists, and product teams to deliver AI-driven solutions aligned with strategic goals.

What We Are Looking For

  • At least 7 years of experience in software engineering, digital platforms, or large-scale technology environments;
  • Strong understanding of Artificial Intelligence, Machine Learning, Deep Learning, and Generative AI, with hands-on development experience;
  • Experience working with Large Language Models (LLMs) and their practical application patterns;
  • Experience with MLOps practices, model monitoring, observability, and working in Agile environments;
  • Experience with cloud platforms, particularly AWS, and related AI/ML services;
  • Knowledge of model comparison, security, privacy, FinOps, model quality, output validation, and guardrails is a plus.
  • Fluency in English.

We connect IT professionals with projects that match their skills, professional experience, and goals, then we offer a career progression program, delivered by in-house specialists - our People Experience Partners - to guide them through our journey with us.

What We Offer

  • A project that matches your skills and ambitions, as well as your preferences for working policies and culture.
  • A competitive salary with awesome benefits and opportunities to leverage your knowledge and network to earn additional income.
  • An empowering and respectful work culture enriched with social and learning events.
  • A People Experience Partner specially assigned to you - your go-to career guide, responsible for supporting your growth, facilitating training, and ensuring your work-life balance at KWAN.

At KWAN, they make sure that I feel comfortable with the client I’m working for and that what I’m doing aligns with my career aspirations.

Luis Caldeira, DevOps @ KWAN

At KWAN, I’m given the space to be myself and do what I love. I have control over the projects I work on, as well as the direction of my career.

Pedro Fonseca, Front End Developer @ KWAN

I see my People Experience Partner as someone who is always available to provide me with motivation and constant feedback, which helps me be sure that I am in the right place.

Josimar dos Reis, Software Developer @ KWAN

I know that I’ve contributed to the growth of a company that truly values a “people first culture”, because my ideas, experiences, and individuality were always appreciated.

João Nascimento, Software Developer (KWAN Alumni)

My two years at KWAN were an incredible experience! From the start, I was welcomed into a warm and collaborative environment where I felt truly supported.

Laís Ortiz, Software Developer @ (KWAN Alumni)

Grab this opportunity, apply now!

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