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Role description

Backend Engineer (AI Integration & AWS DevOps)

My Custom AI logoMy Custom AI
AI-native
TypeFull-time
WorkplaceOn-site
LocationSanta Clara, CA
Posted8/20/2026
Engineering

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!

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Company info

My Custom AI logo

My Custom AI

Crafting Custom AI to Drive Your Business Success.

HQSanta Clara, US
Size5 employees
IndustryTechnology, Information and Internet
Tech stack
Unlock human wisdom
ThesisTermsPrivacy
langgraph, hugging-face, amazon-web-services, langchain, amazon-cloudwatch, jupyter, crewai, aws-cloudformation, google-cloud-platform, docker

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