Summary
✨ AI‑Generated
A technology team is seeking a backend engineer to develop AI-powered systems, build reliable data pipelines, and manage scalable cloud infrastructure. The role focuses on API integration, automation, and high-performance computing workloads.
Highlights
Opportunity to work on large-scale AI systems, cloud infrastructure, and scalable backend solutions using modern technologies.
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!
