Hi, we’re Back Market.

We’re here to help make tech reliable, affordable, and better than new. We're a global marketplace for refurbished devices, helping lower our collective environmental impact by providing trustworthy, affordable tech with 92% less carbon emissions than new.

Yep, you read that right. Turns out refurbished tech is way better for the planet than new. In fact, With every device purchased on Back Market, our positive impact on the planet grows. From our Customer Care representatives to our software engineer, every individual at Back Market cuts the planet — and consumers — a break. Our mission is simple: to do more with what we already have.

Are you ready to join us?

About the role

As part of the Bureau of Technology, you’ll design, build, and scale AI-driven solutions to improve our Customer Care. You’ll join a new team ,Care AI (a mix of data scientists and backend engineers) focused on enhancing the experience of our Customers in need of help with faster and more precise resolutions. Your focus will be in implementing and scaling our Care AI agents and improving AI powered features aimed at increasing agents efficiency, detecting customer sentiment and speeding up resolutions.

What You’ll do

• Build scalable infrastructure and APIs to integrate AI capabilities (LLMs, ML models) into Back Market's customer care systems

• Implement AI agent actions, MCP server connections, and data pipelines enabling the Care AI Agent to serve customers 24/7

• Develop robust monitoring, evaluation, and safety guardrails for AI features handling sensitive customer interactions

• Collaborate with data scientists to productionize ML models and optimize performance at scale

• Strong backend engineering skills with keen interest in AI/ML technologies and willingness to learn about LLM integration patterns

• Passionate about leveraging AI to improve customer experiences and eager to work at the intersection of engineering and data science

Our technical environment

Application: Python - FastAPI / SQLAlchemy/ Celery/ Golang/ Django (being phased out) -

Data: PostgreSQL/ Redis/ Kafka/ RabbitMQ/ BigQuery

Infrastructure: GCP / Kubernetes (GKE) / Docker/ Datadog/ ArgoCD/ CircleCI / Github

Bonus Points

Familarity of machine learning and statistical concepts

Recruitment process

• Call with a Senior Tech TA, 45 min

• Coding and Testing module, 60 min

• System Design and API module, 45 min

• Data module, 45 min

• Technical Leadership, 45 min

• Meet your manager, 30 min

• Back Market Values fit interview - 45 min