Python Developer Leader

6 days ago

Bharatpur, Rajasthan, India beBeeBackend Full time US$ 1,50,000 - US$ 2,50,000
Senior Python Backend Engineer

Our global art information platform is seeking an experienced Senior Python Backend Engineer to lead the development and maintenance of robust backend services. In this role, you will be responsible for designing and building high-performance APIs that integrate AI/ML models into production systems.

This position is ideal for someone passionate about backend engineering and excited to bring AI-powered user experiences to life at scale. Experience in recommendation systems is a strong advantage but not a strict requirement.

Key Responsibilities:
  • Design and build high-performance backend services in Python (FastAPI, Django, or Flask).
  • Integrate machine learning models into production APIs and pipelines for recommendations and personalization.
  • Collaborate closely with ML engineers and product teams to deliver AI-driven features.
  • Develop low-latency APIs for serving recommendations and intelligent results.
  • Work with vector databases (Qdrant, Pinecone, Elasticsearch, etc.) to power similarity search and embeddings.
  • Deploy, monitor, and scale services in cloud environments (AWS preferred).
  • Contribute to system architecture, performance optimization, and design decisions.
  • Implement CI/CD pipelines with strong testing and code quality practices.
Requirements:
  • Strong understanding of backend architecture and distributed systems.
  • Proven track record of building and deploying production-ready APIs.
  • Experience integrating ML models or AI services into backend infrastructure.
  • Hands-on expertise with cloud platforms (AWS preferred) and DevOps tools (Docker, Kubernetes, Terraform).
  • Database expertise: SQL (PostgreSQL/MySQL) and NoSQL (Redis, Elasticsearch).
  • Excellent communication and collaboration skills in remote team settings.
Nice to Have Skills:
  • Experience with recommendation systems or personalization pipelines.
  • Familiarity with vector databases and embedding-based search.
  • Frontend integration knowledge (React, Next.js, GraphQL).
  • Experience monitoring and optimizing ML-powered production systems (Prometheus, Grafana).

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