Applied Research Engineer
Salesforce
This job at a glance
- Who can apply
- New grads, no experience needed
- Must know
- SalesforceLLMsMachine learningREST APIsBusiness analysisPython
- Nice to have
- Kubernetes
- Work
- On-site in Atlanta
- Pay
- Not stated by the employer.
- Skill demand
- Machine learning22%LLMs12%REST APIs5%Salesforce1%of 100 similar entry-level jobs posted in the US this week
- Listed
- Nov 8, 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 the next generation of services leveraging Generative AI and Agentic Systems. The position offers a high-impact systems role with 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 experience with React.
- Experience with production cloud deployments on platforms 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.
- Ability to author high-quality, low-cognitive-load, fully-tested code, with and without AI assistance.
Qualifications
- Deep technical challenge and massive, real-world scale.
- Ability to bring models to life by working directly alongside Research Scientists.
- Focus on transforming research breakthroughs into stable, secure, and production-ready applications.