Applied Research Engineer

Leadout Capital; Palo Alto (CA); Hybrid; USD 180,000 - 240,000; Full time

Job summary

Salesforce AI is seeking software and platform engineers to embed in our AI team, bridging frontier AI tech and customer-facing reality. You will build, deploy, and maintain production services, APIs, UIs, and evaluators, with scalable cloud architectures across AWS or GCP.

You will collaborate with researchers to turn theory into reliable applications at massive scale, delivering secure, auditable code and tooling for end users and executives alike.

Qualifications

• Strong abilities with Python and Linux, and some with React.
• Experience with production cloud deployments like AWS or GCP. Kubernetes is a plus.
• Experience field-debugging full-stack deployments.
• Solid understanding of security principles and best practices.
• UI and graphic design sensibilities are a plus.
• Author high-quality, low-cognitive-load, fully-tested code – with-and-without-AI assistance.

Responsibilities

• Work alongside other motivated and talented research engineers to bring cutting-edge theory into customer-facing practice.
• Build tools and pipelines to support ML and AI efforts.
• Design, build, deploy, and maintain production services, like APIs, UIs, agentic evaluators, and more.
• Roll out scalable cloud architectures.
• Help with end-user requirements gathering and executive presentations.

Skills

Python

Linux

React

AWS

GCP

Kubernetes

Full-stack

Security

UI design

Testing

Tools

AWS

GCP

Kubernetes

Job description

About the Team

Salesforce AI is looking for talented software and platform engineers to embed in our AI team to bridge the gap between frontier AI technology and customer‑facing reality. Do you want to build and deploy the next generation of services leveraging Generative AI and Agentic Systems? Do you thrive in an environment where your engineering skills directly enable world‑class research and products used by millions?

At Salesforce, we are driving the development of Generative AI for CRM, focused on delivering AI‑created content across every customer interaction at hyper‑scale. This role is crucial to transforming our research breakthroughs into stable, secure, and production‑ready applications.

The Research Engineering team works directly alongside Research Scientists to bring models to life. This position is dedicated to a high‑impact systems role, providing the best of both worlds: deep technical challenge and massive, real‑world scale. We believe that building substantive, scalable infrastructure is what enables scientific breakthroughs to spawn entirely new applications.

Learn more about our work at salesforceairesearch.com.

What You'll Do

• Work alongside other motivated and talented research engineers to bring cutting‑edge theory into customer‑facing practice.
• Build tools and pipelines to support ML and AI efforts.
• Design, build, deploy, and maintain production services, like APIs, UIs, agentic evaluators, and more.
• Roll out scalable cloud architectures.
• Help with end‑user requirements gathering and executive presentations.

What We're Looking For

• Strong abilities with Python and Linux, and some with React.
• Experience with production cloud deployments like AWS or GCP. Kubernetes is a plus.
• Experience field‑debugging full‑stack deployments.
• Solid understanding of security principles and best practices.
• UI and graphic design sensibilities are a plus.
• Author high‑quality, low‑cognitive‑load, fully‑tested code – with‑and‑without‑ AI assistance.