AI Engineer

Posted 6hrs ago

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Job Description

AI Engineer developing LLM-powered pipelines for intelligent systems at Keyrus Portugal. Engaging in technical and consultative roles merging AI solutions with data engineering and human decision-making.

Responsibilities:

  • Build and maintain LLM-powered pipelines for processing and automating customer requests.
  • Design and implement data ingestion, data preprocessing, and enrichment pipelines for unstructured data sources, including emails, PDFs, images, and documents.
  • Develop classification, routing, and decision workflows for customer inquiries.
  • Apply prompt engineering best practices and continuously improve model performance and output quality.
  • Implement structured outputs and Human-in-the-Loop (HITL) workflows to ensure reliability and business adoption.
  • Ensure production readiness through testing, CI/CD, containerisation, and monitoring.
  • Contribute to AI architecture design, scalability, and engineering standards.
  • Monitor, evaluate, and optimise AI systems using LLM observability tools and performance metrics.
  • Collaborate closely with engineering, product, and business teams to integrate AI solutions into existing processes and workflows.

Requirements:

  • 5+ years of experience in Software Engineering, Data Engineering, AI Engineering, or related fields.
  • Strong professional experience developing production-grade Python applications.
  • Proven experience building and maintaining LLM-based solutions and intelligent workflows.
  • Experience working with unstructured data processing pipelines.
  • Ability to work independently in multidisciplinary and distributed teams.
  • Professional proficiency in English.
  • Strong expertise in: Python; FastAPI; Async programming patterns; REST APIs; and PostgreSQL.
  • Hands-on experience with OpenAI SDK, LangChain, LangGraph or similar LLM orchestration frameworks.
  • Strong experience in Prompt Engineering, LLM evaluation, Structured outputs and Human-in-the-Loop workflows.
  • Solid Data Engineering background, including data pipelines, ingestion, preprocessing and working with unstructured datasets.
  • Experience with: Docker; CI/CD pipelines; testing practices; and production deployments.
  • Practical experience using AI-assisted development tools such as GitHub Copilot, Codex, Claude Code, or similar.

Benefits:

  • Meal allowance: €10.20/day
  • Flexible benefits plan
  • Private medical insurance
  • 22 days of annual leave, increasing every 3 years (up to 25 days)
  • Continuous learning via KLX – Keyrus Learning Experience
  • A collaborative, international, and human-centred work environment