Distributed AI Systems Engineer — Build GenAI APIs

Siemens; Costa Mesa (CA); On-site; USD 140,000 - 200,000; Full time

Job summary

Siemens is seeking a software engineer to design and build high-performance distributed services and APIs that integrate generative AI and large language models into physical products. You will own end-to-end projects from design to deployment, collaborating with ML engineers and infrastructure teams.

The role requires 3+ years of professional software development with proficiency in Python, Go, or Java, and a strong grasp of system design.

Qualifications

• Requires 3+ years of professional software development experience with proficiency in Python, Go, or Java.
• Experience with ML pipelines, cloud-native systems and leading technical efforts is preferred.

Responsibilities

• Design and build performant distributed services and APIs to integrate generative AI and large language models into physical products.
• Own projects end-to-end from design to deployment while collaborating with ML engineers and infrastructure teams.

Skills

Python

Go

TypeScript

PyTorch

HuggingFace

ONNX Runtime

LangChain

AWS

Kubernetes

Redis

Postgres

S3

Terraform

GitHub Actions

Datadog

System Design

Job description

Siemens is seeking a software engineer to design and build high-performance distributed services and APIs that integrate generative AI and large language models into physical products. You will own end-to-end projects from design to deployment, collaborating with ML engineers and infrastructure teams.

The role requires 3+ years of professional software development with proficiency in Python, Go, or Java, and a strong grasp of system design.