Principal GenAI Platform Engineer (AI)
Мэтч & Сопровод
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Описание вакансии
TL;DR
Principal GenAI Platform Engineer (AI): Building the infrastructure that connects AI systems with existing products to enable seamless delivery of AI-generated insights into agent workflows with an accent on model gateways, prompt/versioning stores, vector databases, and LLM evaluation tools. Focus on designing secure access controls, developing observability solutions, and optimizing infrastructure for scalability and cost efficiency in production workloads.
Location: Remote, USA
Salary: $179,000 - $199,000 per year
Company
is a healthcare software company developing safe, scalable, and high-impact generative AI solutions for the industry.
What you will do
- Design, build, and maintain the core infrastructure layer for GenAI products, including model gateways and vector databases.
- Implement secure access controls and authentication mechanisms integrated into AI platform components.
- Develop and manage observability, monitoring, and logging solutions for GenAI workloads.
- Collaborate with product and engineering teams to integrate GenAI infrastructure with agent frameworks and downstream applications.
- Optimize infrastructure for scalability, high availability, and cost efficiency for production workloads.
Requirements
- Extensive experience building and maintaining AI platform infrastructure.
- Proven expertise in Kubernetes and container security.
- Demonstrated experience with observability and monitoring frameworks (e.g., OpenTelemetry, MLFlow).
- Experience with AI infrastructure components such as vector databases, prompt stores, and AI IDEs.
- Must be based in the USA.
Nice to have
- Familiarity with vLLM, SGLang, or similar frameworks for hosting LLM inference workloads.
- Experience with CI/CD pipelines and automation for AI model deployment.
- Strong knowledge of authentication and authorization frameworks integrated into AI platforms.
Culture & Benefits
- Comprehensive total rewards package including base salary and bonuses.
- Full-time employment benefits.
- Fully remote work environment within the US.
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