AI & Automation Architect: Build Scalable AI Pipelines

Farfetch Limited; Porto; Hybrid; EUR 70,000 - 100,000; Full time

Benefits offered by this job

Health insurance for the whole family

25 Days Annual Leave

Sabbatical program after 5 years

Training opportunities and LinkedIn

Flexible benefits

Flexible working environment

Job summary

Farfetch Limited in Porto is seeking an AI & Automation Engineer to design scalable AI-powered systems. You will partner with Product, Data and Operations to remove bottlenecks and deploy production-grade solutions that drive efficiency.

You’ll build GenAI apps, orchestrate back-end pipelines with Python, Airflow, APIs and cloud services, and implement safety practices to guard against prompt injection while tracking ROI.

Qualifications

• 5+ years of relevant development experience (Software Engineering, MLOps, Applied AI, Automation or Data).
• A pragmatic approach to technology: knowing when to use AI, conventional automation or neither.
• Deep expertise in Python, SQL and designing clean, maintainable backend services/microservices.
• Hands-on experience with workflow orchestration platforms (e.g. Apache Airflow) and webhooks/API integrations.
• Strong practical knowledge of prompt engineering, vector databases/embeddings, RAG architectures and output validation frameworks (e.g., Pydantic, Instructor, Guardrails).
• Familiarity with modern software delivery workflows: version control (Git), containerized applications (e.g., Docker) and basic cloud deployments.
• Demonstrated experience with AI safety considerations: prompt injection defense, output validation and reliability engineering in production.

Responsibilities

• Partner with stakeholders across Catalogue and Content, Product and Data to understand business problems, challenge existing processes, identify automation opportunities and translate them into practical solutions, from straightforward process automation to more complex AI-driven solutions.
• Own the full development lifecycle from initial problem framing and prototyping to production deployment, monitoring and ongoing optimization, including system design, testing, evaluation and continuous improvement.
• Build robust GenAI applications and LLM-based workflows leveraging RAG, structured outputs, function/tool calling, context management and multi-step reasoning workflows where appropriate.
• Construct and orchestrate reliable backend services and pipelines using Python, Apache Airflow, APIs and cloud-native solutions, optimizing for system reliability, latency and inference/token costs.
• Define and track operational metrics (throughput speed, error reduction, operational hours saved, metadata quality) to measure ROI of every deployed solution.
• Establish reusable patterns, practices and capabilities for building reliable, maintainable AI and automation solutions, implementing AI safety best practices (prompt injection defense, guardrails, output validation).
• Explore and prototype emerging AI capabilities, evaluating how they can solve real business problems and evolve into production-ready solutions.
• Help shape and expand our AI practice into a fully formed capability and service offering for the Catalogue and Content domain, combining systems design, consulting, delivery, and innovation.

Skills

Python

SQL

AI safety

Prompt engineering

RAG

Embeddings

Git

Workflow orchestration

Communication

Non-technical stakeholder management

Tools

Apache Airflow

Docker

API integrations

Job description

Farfetch Limited in Porto is seeking an AI & Automation Engineer to design scalable AI-powered systems. You will partner with Product, Data and Operations to remove bottlenecks and deploy production-grade solutions that drive efficiency.

You’ll build GenAI apps, orchestrate back-end pipelines with Python, Airflow, APIs and cloud services, and implement safety practices to guard against prompt injection while tracking ROI.