Hiring Senior Python Backend Engineer for an Offshore Software Development IT Company

Job Description:

About the Role

We are seeking a highly experienced Senior Python Backend Engineer to design, build, and scale backend services for our global art information platform. In this role, you will work on integrating advanced AI/ML models into production systems, powering features such as recommendations, personalization, and intelligent search.

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.

Responsibilities

• Design, build, and maintain robust 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 (Bonus Skills)

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