Applied Research Engineer
Salesforce
This job at a glance
- Who can apply
- New grads, no experience needed
- Must know
- SalesforceMachine learningREST APIsBusiness analysisPythonLinux
- Nice to have
- LLMsKubernetes
- Work
- On-site in Austin
- Pay
- Not stated by the employer.
- Skill demand
- Machine learning22%Business analysis9%REST APIs5%of 99 similar entry-level jobs posted in the US this week
- Listed
- Nov 10, 2026 · still open
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About the Role
Salesforce AI is seeking talented software and platform engineers to join its AI team. This role bridges the gap between frontier AI technology and customer-facing reality, focusing on building and deploying next-generation services leveraging Generative AI and Agentic Systems. The position is dedicated to a high-impact systems role, offering deep technical challenges and massive, real-world scale.
Key Responsibilities
- Work alongside research engineers to translate cutting-edge theory into customer-facing practice.
- Build tools and pipelines to support ML and AI efforts.
- Design, build, deploy, and maintain production services, including APIs, UIs, and agentic evaluators.
- Roll out scalable cloud architectures.
- Assist with end-user requirements gathering and executive presentations.
Requirements & Tech Stack
- Strong abilities with Python and Linux.
- Some abilities with React.
- Experience with production cloud deployments such as 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.
- Ability to author high-quality, low-cognitive-load, fully-tested code, with and without AI assistance.
Qualifications
- Experience with Generative AI and Agentic Systems is desired.
- Experience in bringing research breakthroughs into stable, secure, and production-ready applications.