1 day ago
Porto, PortugalSenior
Responsibilities
- Partner with Catalogue and Content, Product, and Data stakeholders to identify business problems and automation opportunities.
- Own the full development lifecycle from problem framing and prototyping through production deployment, monitoring, evaluation, and continuous improvement.
- Build GenAI applications and LLM-based workflows using RAG, structured outputs, function and tool calling, context management, and multi-step reasoning.
- Develop and orchestrate backend services and pipelines using Python, SQL, Apache Airflow, APIs, and cloud-native solutions.
- Define operational metrics and measure the business impact of deployed automation and AI solutions.
- Create reusable patterns and practices for reliable, maintainable, and scalable AI and automation systems.
- Implement AI safety measures including prompt-injection defense, guardrails, output validation, and production reliability practices.
- Explore emerging AI capabilities and help expand the organization's AI practice and service offering.
Requirements
- At least 5 years of relevant development experience in software engineering, MLOps, applied AI, automation, or data.
- Deep expertise in Python, SQL, and designing clean, maintainable backend services or microservices.
- Hands-on experience with workflow orchestration platforms such as Apache Airflow and with webhook or API integrations.
- Practical knowledge of prompt engineering, vector databases, embeddings, RAG architectures, and output validation frameworks such as Pydantic, Instructor, or Guardrails.
- Familiarity with Git, Docker, containerized applications, and basic cloud deployments.
- Experience implementing AI safety measures including prompt-injection defense, output validation, and production reliability engineering.
- Ability to communicate effectively across technical and business contexts.
- Preferred experience with autonomous multi-agent frameworks such as LangGraph, AutoGen, or CrewAI.
- Preferred domain knowledge in e-commerce content operations, product taxonomy management, or catalog enrichment systems.
- Background in machine learning, NLP, or computer vision architectures is preferred.
Benefits
- Health insurance for the whole family and other well-being resources.
- 25 days of annual leave above the statutory allowance, plus two additional Caring Days per year.
- Boomerang sabbatical program after five years of service.
- Training opportunities and free access to LinkedIn Learning.
- Flexible benefits program.
- Flexible working environment.
About Farfetch
Farfetch runs a global marketplace that connects shoppers to luxury fashion from 1,400+ brands, boutiques, and department stores across 190+ countries. It earns commissions on sales and offers Farfetch Platform Solutions to power brands’ e-commerce and omnichannel retail. Founded in 2007 and headquartered in London, it also supports editorial content and logistics tailored to luxury sellers.