Senior Backend Python Engineer

Summary

Join our team as an experienced Python backend engineer to build advanced data-driven features for our global art information platform. You will design, implement, and deploy backend services integrating with modern AI/ML solutions, including recommendation and personalization logic. This role requires expertise in Python backend development, backend architecture, distributed systems, and API development. Experience with ML model integration and cloud platforms (AWS preferred) is essential. The ideal candidate will have experience with recommendation systems, though it's not mandatory. This is a fully remote position offering a competitive salary and flexible work arrangements.

Requirements

• 8+ years of Python backend development experience
• Strong knowledge of backend architecture and distributed systems
• Proven experience building and deploying production-ready APIs
• Experience integrating ML models or AI services into backend systems
• Familiarity with cloud platforms (AWS preferred) and DevOps practices (Docker, Kubernetes, Terraform)
• Database experience: SQL (PostgreSQL/MySQL) and NoSQL (Redis/ElasticSearch)
• Excellent communication skills and ability to work collaboratively in a remote team

Responsibilities

• Design, build, and maintain robust and scalable backend services using Python (FastAPI/Django/Flask)
• Integrate ML models (for recommendations, personalization, and other AI-driven features) into production APIs and data pipelines
• Collaborate with ML engineers and product teams to design and deliver AI-powered functionality
• Build efficient APIs to serve recommendations and other results at low latency
• Work with vector databases (Qdrant, Pinecone, Elasticsearch, etc.) to implement fast similarity search and embeddings
• Deploy, monitor, and scale services in cloud environments (AWS preferred)
• Contribute to system design, architecture decisions, and performance optimization
• Develop CI/CD pipelines and ensure high code quality and test coverage

Preferred Qualifications

• Experience with recommendation systems or personalization pipelines
• Familiarity with vector databases and embedding-based search
• Frontend integration experience (React, Next.js, GraphQL)
• Experience with monitoring and improving ML-powered production systems(Prometheus, Grafana)

Benefits

• Work on greenfield AI/ML-powered features for a global audience
• Opportunity to influence architecture and technology choices
• Collaborative and fast-moving team with ambitious product goals
• Competitive salary and fully remote work flexibility