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Backend Engineer

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Summary

Build and maintain scalable backend systems and AI pipelines using Python, AWS, and Docker. Focuses on API integration, GPU workload optimization, and real-time data processing.

Job Description

We are looking for a talented Backend Engineer to join our team, working on backend systems that power cutting-edge AI applications. This role focuses on API integration, AWS DevOps, and building scalable systems to handle large-scale workloads.

If you're passionate about backend engineering, AI integration, and tackling challenges at scale, we'd love to hear from you!

Responsibilities

AI Model API Integration

  • Build and maintain pipelines to integrate custom AI models hosted on Hugging Face via REST APIs.
  • Optimize API calls for cost efficiency and peak performance.

Pipeline Development

  • Design, implement, and maintain scalable, fault-tolerant pipelines for real-time and batch processing workflows.
  • Manage data preprocessing and postprocessing workflows for AI models.

AWS DevOps

  • Deploy and manage infrastructure using AWS services: EC2, S3, RDS, spot fleets, auto-scaling groups, load balancers, and CloudFormation.
  • Optimize GPU instance workloads at scale (hundreds of machines in parallel).
  • Configure custom AMIs and implement auto-scaling strategies tailored to operational needs.

System Scalability & Monitoring

  • Build backend systems capable of managing large parallel workloads with minimal downtime.
  • Monitor and optimize system performance using AWS CloudWatch.

Collaboration

  • Work closely with machine learning engineers, full-stack engineers, and other team members to ensure seamless integration and operational excellence.

Requirements

Technical Skills

  • Proficiency in Python.
  • Experience with REST API integration.
  • Solid understanding of AWS services: EC2, S3, RDS, CloudFormation, spot fleets, and auto-scaling groups.
  • Hands-on experience with Docker.
  • Expertise in cost optimization and performance tuning for GPU workloads.
  • Strong SQL skills (NoSQL knowledge is a plus).

Experience

  • Proven track record of building scalable backend systems and AI/ML application pipelines.
  • Experience managing real-time and batch processing workflows.
  • Familiarity with monitoring tools like AWS CloudWatch.
  • Ideally AWS Certified

Soft Skills

  • Strong problem-solving abilities and ability to work independently.
  • Excellent communication skills for cross-functional collaboration.

Why Join Us?

  • Work on groundbreaking AI projects that solve real-world problems across diverse industries.
  • Be part of a high-impact team, leveraging cutting-edge technologies to build scalable systems at scale.
  • Collaborate with a talented and passionate team of engineers.

If you're ready to take on challenging backend engineering problems in the AI space, apply now!

See also

Backend jobs by country — openings, pay and top skills →

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