We are looking for an experienced Python backend engineer to join our team and help build advanced data-driven features for our global art information platform.
You will design, implement, and deploy backend services that integrate with modern AI/ML solutions, including recommendation and personalization logic.
This is an excellent opportunity for a backend engineer who enjoys working with AI-enhanced products and wants to play a key role in building scalable, ML-powered user experiences.
Experience in recommendation systems is a strong advantage but not mandatory.
Responsibilities include designing, building, and maintaining robust and scalable backend services using Python (FastAPI/Django/Flask).
You will 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.
Requirements:
You must have 8+ years of Python backend development experience.
Strong knowledge of backend architecture and distributed systems is required.
Proven experience building and deploying production-ready APIs is essential.
Experience integrating ML models or AI services into backend systems is necessary.
Familiarity with cloud platforms (AWS preferred) and DevOps practices (Docker, Kubernetes, Terraform) is required.
You should have database experience with SQL (PostgreSQL/MySQL) and NoSQL (Redis/ElasticSearch).
Excellent communication skills and the ability to work collaboratively in a remote team are essential.
Benefits:
You will have the opportunity to work on greenfield AI/ML-powered features for a global audience.
There is an opportunity to influence architecture and technology choices.
You will be part of a collaborative and fast-moving team with ambitious product goals.
A competitive salary is offered along with fully remote work flexibility.
