Senior Software Engineer, Cloud Infrastructure

Beacon AI; San Carlos (CA); Presencial; USD 180.000 - 250.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Health Insurance

Paid Time Off

Paid Company Holidays

401(k)

Descripción de la vacante

engineeringjobs.net, Inc. is seeking a senior cloud/LLM infra engineer to design, build, and operate secure AWS infrastructure and production LLM services, including RAG pipelines and vector search.

You will partner with product and engineering teams to embed these systems into applications and IoT deployments, while driving reliability and cost efficiency. The role requires hands-on expertise in AWS, Python, data pipelines, LangChain, and orchestration frameworks, with a focus on observability

Formación

• Senior-level experience owning cloud and LLM-powered systems in production.
• Strong AWS expertise and hands-on Python, data pipelines, and RAG.
• Experience with vector databases, orchestration frameworks, and security best practices.

Responsabilidades

• Design, build, and operate secure, scalable AWS infrastructure and production LLM services (incl. RAG pipelines, vector search, data ingestion, evaluation, observability).
• Collaborate with product and engineering to integrate systems into applications and support IoT deployments.
• Improve reliability, performance, and cost efficiency while communicating tradeoffs.

Conocimientos

AWS

Python

Cloud Architecture

Data Pipelines

RAG

LangChain

Vector Databases

Terraform

CI/CD

Observability

Herramientas

AWS CDK

Serverless

Descripción del empleo

Design, build, and operate secure, scalable AWS infrastructure and production LLM services, including RAG pipelines, vector search, data ingestion, evaluation, and observability. Partner with product and engineering teams to integrate these systems into applications, support IoT deployments, and improve reliability, performance, and cost efficiency.

Requirements:

The role calls for senior-level experience owning cloud and LLM-powered systems through production, with strong AWS expertise and hands-on skills in Python, data pipelines, RAG, and orchestration frameworks such as LangChain. Candidates should apply security best practices, use quantitative evaluation and operational metrics, and communicate tradeoffs effectively; experience with vector databases, serverless or container platforms, and safety-critical domains is beneficial.

Key Skills:

AWS Cloud Infrastructure, Infrastructure as Code, Terraform, AWS CDK, CI/CD, Large Language Models, Retrieval-Augmented Generation, LangChain, Python, Vector Databases, Data Engineering, Cloud Security, Machine Learning Infrastructure, IoT Infrastructure, Observability, Performance Optimization

Benefits:

Health Insurance, Paid Time Off, Paid Company Holidays, 401(k)