Senior Backend Engineer (AI)

TL;DR

Mlops: Ml Recall (Ai Engineering): Building, deploying, and maintaining search services, including I/O-bound web services and CPU- and GPU-bound workloads with an accent on optimizing system performance for scaling large ML models efficiently. Focus on broader ML improvements across the platform, ensuring high availability, low latency, and robust performance at scale.

Location: Fully remote - choose where you live

Salary: $80k–$120k USD

Company

hirify.global is the next-generation platform for search and discovery in ecommerce, built to explicitly optimize for metrics like revenue, conversion rate, and profit.

What you will do

• Build, deploy, and maintain search services, including I/O-bound web services, CPU- and GPU-bound workloads, and data services.
• Develop using AWS CloudFormation, AWS CDK, Jenkins, and GitHub Actions.
• Optimize system performance, particularly for scaling large ML models efficiently.
• Maintain and enhance the observability stack, including tools like Prometheus, Grafana, PagerDuty, and AWS CloudWatch.
• Collaborate with both technical and non-technical stakeholders to design and evolve search functionality.
• Contribute to broader ML improvements across the platform.

Requirements

• Excellent communicator with a passion for performance optimization.
• Excited to build scalable ML platforms and practical search systems.
• Strong proficiency in Python.
• Proven experience designing, developing, and maintaining high-load, distributed, real-time services.
• Demonstrated experience setting up and improving CI/CD pipelines.
• Hands-on experience with cloud platforms (AWS preferred) and Infrastructure as Code (e.g., Terraform, CloudFormation).
• Proficiency with big data technologies across the end-to-end ML product lifecycle and solid experience in server-side web service development and API design.

Nice to have

• Experience with Rust or another low-level programming language.
• Deep knowledge of data structures, algorithms, and their trade-offs.

Culture & Benefits

• Unlimited vacation time.
• Fully remote team - choose where you live.
• Work from home stipend.
• Apple laptops provided for new employees.
• Training and development budget.
• Maternity & Paternity leave for qualified employees.
• Stock options.
• Regular team offsites to connect and collaborate.