AI Platform Engineer — AWS, LLMs & MLOps

Stratolaunch; Mojave (CA); Presencial; USD 142.000 - 165.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Paid Maternity and Parental Leave

401(k) company match up to $11,500

Descripción de la vacante

Stratolaunch is seeking an AI Solutions Engineer to design, deploy, and run ML/LLM/RAG workloads in AWS. You will build and optimize AI pipelines, integrate tools like Qdrant and Hugging Face, and deliver reusable APIs and plugins for internal users. Strong collaboration with software, data, and security teams is essential.

The role emphasizes observability, cost management, and scalable AI interfaces across frontend and backend systems, including Streamlit and OpenWebUI integrations.

Formación

• BS or related field; 5–10 years in software/AI engineering or ML ops.
• Experience deploying and operating ML/AI workloads in production.
• Experience with APIs, services, plugins, or software interfaces.

Responsabilidades

• Design, deploy, and operate infrastructure for ML/LLM/RAG workloads in AWS.
• Host, monitor, and optimize RAG systems (Qdrant) and observability.
• Serve as MLOps SME for model deployment, inference, and production support.
• Integrate COTS and open-source tools, monitor cost and performance.
• Develop APIs, plugins, and integrations for AI capabilities across Stratolaunch.
• Collaborate with teams to deliver practical AI interfaces to apps and web services.
• Evaluate AI technologies with focus on performance, scalability, and reliability.

Conocimientos

ML workloads

AWS

Python

APIs & integration

Docker

Kubernetes

CI/CD

Logging & monitoring

CLI scripting

Open source tools

Educación

BS in CS/Engineering/Data Science

5–10 years experience

Herramientas

Qdrant

Hugging Face

OpenWebUI

Streamlit

NGINX

Wilbur

Descripción del empleo

Stratolaunch is seeking an AI Solutions Engineer to design, deploy, and run ML/LLM/RAG workloads in AWS. You will build and optimize AI pipelines, integrate tools like Qdrant and Hugging Face, and deliver reusable APIs and plugins for internal users. Strong collaboration with software, data, and security teams is essential.

The role emphasizes observability, cost management, and scalable AI interfaces across frontend and backend systems, including Streamlit and OpenWebUI integrations.