Aviation AI: Senior Cloud & LLM Infra Engineer

Engg; San Carlos; Híbrido; ARS 289.387.000 - 357.926.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Healthcare

Time Off

401(k)

Descripción de la vacante

Beacon AI is seeking a Staff Software Engineer, Cloud Infrastructure to lead our AWS foundation and LLM platform. You will design, implement, and operate scalable, secure services. The role emphasizes ML infra, IoT infra, and cost governance, with a hands‑on, first-principles approach.

The position involves building retrieval pipelines, model endpoints, and secure data flows, collaborating across engineering and product teams in a fast-moving environment.

Formación

• Hands-on, multi-cloud capable with strong AWS expertise.
• Experience designing scalable, secure cloud infra and ML pipelines.
• Familiarity with LLM infra, retrieval pipelines, and LangChain is a plus.

Responsabilidades

• Design, provision, and maintain AWS infrastructure with IaC.
• Build CI/CD and testing for apps, infra, and ML pipelines.
• Operate secure networking, IAM, and audit logging.
• Stand up model endpoints and manage LLM services.
• Develop RAG data systems, vector search, and data pipelines.
• Implement monitoring, cost governance, and guardrails.
• Ensure safety, privacy, and regulatory compliance.
• Collaborate with product and application teams on features.
• Optimize performance and scaling for ML/inference workloads.

Conocimientos

AWS

IaC

CDK

Terraform

CI/CD

GitHub Actions

SageMaker

Bedrock

LangChain

Security

Herramientas

OpenSearch

Aurora

Glue

Lake Formation

Descripción del empleo

Beacon AI is seeking a Staff Software Engineer, Cloud Infrastructure to lead our AWS foundation and LLM platform. You will design, implement, and operate scalable, secure services. The role emphasizes ML infra, IoT infra, and cost governance, with a hands‑on, first-principles approach.

The position involves building retrieval pipelines, model endpoints, and secure data flows, collaborating across engineering and product teams in a fast-moving environment.