Board of Innovation

AI Engineer

Board of Innovation

full-time

Posted on:

Location Type: Remote

Location: Remote • 🇵🇹 Portugal

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Job Level

Mid-LevelSenior

Tech Stack

DockerKubernetesPythonPyTorchScikit-Learn

About the role

  • Work together with a collaborative international team of engineers, designers and solution leads to understand customer business needs and translate them into end-to-end solutions.
  • Leverage AI for predictive analysis, automation, decision support, and operational optimization.
  • Leverage LLMs for content generation, entity extraction, analyzing and summarizing large amounts of textual data, LLM orchestration, and agentic workflows.
  • Wrap analytical models into deployable APIs.
  • Collaborate with the data engineering team to integrate data pipelines and software developers to turn your solutions into customer-facing applications.

Requirements

  • 3+ years of experience building AI/ML algorithms and solutions, and a degree in Computer Science or related field.
  • Experience with Python, and with ML frameworks like PyTorch and scikit-learn.
  • A strong understanding of various machine learning algorithms, including supervised and unsupervised learning, reinforcement learning, and neural networks.
  • Hands-on experience with Natural Language Processing (NLP), traditional ML, and LLMs.
  • Experience with data preprocessing, feature engineering, and model evaluation techniques essential for machine learning projects.
  • Familiarity with the latest in GenAI, including RAG, agentic workflows, MCP, A2A, tool use, function calling, and multi-modal systems.
  • Experience with MLOps, including monitoring and optimizing AI models for performance, scalability, and efficiency.
  • Familiarity with DevOps practices, including CI/CD pipeline tools such as Docker, Kubernetes, Github Actions, or Skaffold.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
AI/ML algorithmsPythonPyTorchscikit-learnNatural Language Processing (NLP)data preprocessingfeature engineeringmodel evaluationMLOpsDevOps
Soft skills
collaborationcommunicationproblem-solvinganalytical thinking