Senior Full-Stack AI Engineer

Salesforce; California (MO); On-site; USD 149,000 - 345,000; Full time

Job summary

Salesforce Senior/Lead Software Engineer - Full Stack is sought to turn ambiguous product problems into high-quality shipped software, partnering with product and design to define what we build, how we build it, and how we measure success.

You'll work on core workflows from UI to backend, turning emerging AI capabilities into reliable product experiences, choosing the right techniques, and ensuring observability and maintainability.

Qualifications

• 5+ years of professional software development experience.
• Proven track record shipping production-grade full-stack web apps.
• Hands-on experience applying AI/ML in product (LLMs, embeddings).
• Ability to navigate ambiguity and drive work independently.
• User-focused mindset prioritizing UX and customer outcomes.

Responsibilities

• Ship full-stack product features end-to-end across frontend, backend, and data.
• Build AI-powered experiences using LLMs, embeddings, and related techniques where they create real user value.
• Own delivery from scope/design through launch, monitoring, and iteration.
• Solve ambiguous, technically challenging problems with pragmatic, scalable solutions.
• Partner closely with product, design, and engineering to shape requirements and roadmap.
• Improve performance, reliability, and overall product quality at enterprise scale.
• Contribute to strong engineering culture through code review, tooling, and process improvements

Skills

5+ yrs exp

Full-stack web apps

AI/ML in product

Ambiguity navigation

Product-minded

Strong communicator

Ownership mindset

Rails

React

Postgres

AWS

Adaptability

Continuous learning

Education

Bachelor's degree or higher

Tools

Rails

React

Postgres

AWS

Job description

Salesforce Senior/Lead Software Engineer - Full Stack is sought to turn ambiguous product problems into high-quality shipped software, partnering with product and design to define what we build, how we build it, and how we measure success.

You'll work on core workflows from UI to backend, turning emerging AI capabilities into reliable product experiences, choosing the right techniques, and ensuring observability and maintainability.