AI Engineer

This is a fully remote position, open to applicants in Portugal.

📋 Description

• Develop and sustain pipelines powered by LLM for processing and automating customer requests.

• Design and execute data ingestion, preprocessing, and enrichment pipelines for unstructured data sources such as emails, PDFs, images, and documents.

• Create classification, routing, and decision workflows tailored for customer inquiries.

• Utilize prompt engineering best practices to consistently enhance model performance and output quality.

• Establish structured outputs and Human-in-the-Loop (HITL) workflows to guarantee reliability and business integration.

• Ensure readiness for production through thorough testing, CI/CD, containerization, and ongoing monitoring.

• Contribute to the design of AI architecture, scalability, and engineering standards.

• Observe, assess, and optimize AI systems by employing LLM observability tools and performance metrics.

• Work in close collaboration with engineering, product, and business teams to embed AI solutions within existing workflows and processes.

⛳️ Requirements

• Over 5 years of experience in Software Engineering, Data Engineering, AI Engineering, or related disciplines.

• Strong background in developing production-grade Python applications.

• Demonstrated experience in constructing and maintaining LLM-based solutions and intelligent workflows.

• Familiarity with processing pipelines for unstructured data.

• Capability to work independently within multidisciplinary and distributed teams.

• Professional fluency in English.

• Extensive expertise in: Python; FastAPI; Async programming patterns; REST APIs; and PostgreSQL.

• Practical experience with OpenAI SDK, LangChain, LangGraph, or similar LLM orchestration frameworks.

• Significant experience in Prompt Engineering, LLM evaluation, structured outputs, and Human-in-the-Loop workflows.

• Strong Data Engineering foundation, including data pipelines, ingestion, preprocessing, and working with unstructured datasets.

• Experience with: Docker; CI/CD pipelines; testing methodologies; and production deployments.

• Hands-on experience with AI-assisted development tools like 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 through KLX – Keyrus Learning Experience

• A collaborative, international, and human-centered work environment