3 дня назад
Senior Software Engineer (AI)
220 000 - 340 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Software Engineer (AI): Building and scaling backend services, APIs, data pipelines, and AWS infrastructure for an AI detection platform with an accent on reliability, performance, and horizontal scalability. Focus on designing high-availability systems, deploying machine learning models in production, and solving complex bottlenecks across the stack.
Location: On-site in Brooklyn, New York
Salary: $220K–$340K plus equity
Company
Develops AI detection systems, publishes research on AI detection techniques, and builds products that bring the technology into everyday use.
What you will do
- Design and implement scalable backend services and RESTful APIs for AI detection capabilities.
- Own the reliability, performance, observability, and incident response of production systems.
- Architect data pipelines, caching layers, and service infrastructure on AWS.
- Collaborate with machine learning engineers to deploy and serve models in production.
- Identify and resolve performance and scalability bottlenecks as traffic and system complexity grow.
- Improve engineering practices around testing, deployment, and production operations.
Requirements
- 5+ years of professional software engineering experience with a strong backend focus.
- Proficiency in Python and Django or comparable Python web frameworks.
- Deep understanding of backend architecture, relational databases, message queues, caching, and asynchronous task processing.
- Hands-on experience with AWS services including EC2, ECS/EKS, RDS, S3, SQS, CloudFront, or Lambda.
- Experience designing highly available, horizontally scalable systems with graceful degradation.
- Strong production debugging and performance-profiling skills.
Nice to have
- Experience with Docker and Kubernetes.
- Familiarity with CI/CD and infrastructure-as-code tools such as Terraform or CloudFormation.
- Experience with monitoring and observability tools such as Datadog, Prometheus, Grafana, or ELK.
- Experience deploying and serving deep learning models in production, including model serving, GPU infrastructure, and batch versus real-time inference.
- Familiarity with React or frontend technologies for cross-stack collaboration.
Culture & Benefits
- High-autonomy role with ownership of backend infrastructure and architectural decisions.
- Mission-driven work focused on protecting authenticity through AI detection technology.
- Close collaboration with frontend and machine learning engineering teams.
- Equity included in the compensation package.
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