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Backend Engineer; AI Integration & AWS DevOps

Job in Santa Clara, Santa Clara County, California, 95053, USA
Listing for: My Custom AI
Full Time position
Listed on 2026-09-09
Job specializations:
  • Software Development
    AWS, Backend Developer, Cloud Engineer - Software
Salary/Wage Range or Industry Benchmark: 140000 - 200000 USD Yearly USD 140000.00 200000.00 YEAR
Job Description & How to Apply Below
Position: Backend Engineer (AI Integration & AWS DevOps)

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 Dev Ops, 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
  • 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.
  • 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 Dev Ops
  • Deploy and manage infrastructure using AWS services: EC2, S3, RDS, spot fleets, auto-scaling groups, load balancers, and Cloud Formation.
  • 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 Cloud Watch.
  • 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, Cloud Formation, spot fleets, and auto-scaling groups.
  • Hands‑on experience with Docker.
  • Expertise in cost optimization and performance tuning for GPU workloads.
  • Strong SQL skills (No

    SQL 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 Cloud Watch.
  • 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.
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