Overview
Employer Industry: Artificial Intelligence and Software Development
Why consider this opportunity
- Competitive pay with a comprehensive benefits package, including Medical, Dental & Vision Insurance
- Flexible Time Off Program and Paid Holidays to support work-life balance
- Opportunities for career advancement and growth within a dynamic and innovative company
- Work in a collaborative environment that values high standards and continuous improvement
- Chance to influence technical direction and mentor other engineers in a cutting-edge field
What to Expect (Job Responsibilities)
- Architect, build, and lead backend services that scale to handle large workloads and high concurrency
- Design and implement autoscaling strategies, dynamic resource allocation, and load balancing for efficient service delivery
- Optimize end-to-end request pipelines for latency, throughput, reliability, and accuracy
- Monitor and profile production systems, troubleshoot performance issues, and proactively enhance services
- Collaborate with ML/AI teams to ensure models' serving pipelines maintain accuracy and performance under load
What is Required (Qualifications)
- 7+ years of backend engineering experience with scalable, high-performance distributed systems/services
- Strong experience in performance optimization, including profiling, latency tuning, and caching strategies
- Deep understanding of autoscaling, resource management, and load balancing
- Proficient in one or more backend programming languages (e.g., Python, Java, Go, C++, or equivalent)
- Experience operating across multiple cloud providers (AWS, GCP, Azure) and/or hybrid environments
How to Stand Out (Preferred Qualifications)
- Experience with AI/ML model deployment, serving, and production integration
- Familiarity with Generative AI and serving large language models (LLMs)
- Exposure to on-prem delivery models or regulated environments
- Experience with Docker and building containerized applications
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