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Senior Backend Python Engineer (AI/ML Integration, Scalable Systems) at Nacre Capital. Location Information: Poland - Remote. . About the Role:. 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:. • 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.. 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.. Bonus Skills:. • 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.. .