Applied Research Engineer
Salesforce
This job at a glance
- Who can apply
- New grads, no experience needed
- Must know
- SalesforceLLMsCRMMachine learningREST APIsBusiness analysis
- Nice to have
- Kubernetes
- Work
- On-site in Chicago
- Pay
- Not stated by the employer.
- Skill demand
- Machine learning31%LLMs17%Salesforce1%CRM1%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 their AI team.
- This role bridges the gap between frontier AI technology and customer-facing reality.
- Focuses on building and deploying next-generation services leveraging Generative AI and Agentic Systems.
- Contributes to driving the development of Generative AI for CRM, aiming to deliver AI-created content across every customer interaction at hyper-scale.
- Crucial for transforming research breakthroughs into stable, secure, and production-ready applications.
- Works directly alongside Research Scientists to bring models to life.
- A high-impact systems role offering deep technical challenge and massive, real-world scale.
Key Responsibilities
- Work alongside 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, 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 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.