AI Software Engineer MTS
Core
Build and operate full-stack product and platform capabilities for AI coding tools, developer intelligence, and agentic workflows to help Salesforce engineers use AI safely and effectively.
Role type
Mid-level full-stack software engineer (AI developer tools)
Builds
DevBar, AI usage telemetry, code attribution, budget governance, developer intelligence surfaces, and integrations for AI tools at Salesforce scale.
Domain
Software Engineering / AI Developer Productivity / Internal Platforms
Deliverable
production ML models | product features | dashboards & analysis | infrastructure
Required skills
Full-stack development, backend APIs, data modeling, automated testing, CI/CD, secure software development, debugging, system observability, AI-assisted development workflow, prompt engineering
Preferred skills
React, TypeScript, Go, event pipelines, analytics systems, Kubernetes, LLM applications, agentic workflows, prompt evaluation, safety controls for AI features
Technologies
React, TypeScript, Go, Kubernetes, LLMs, CI/CD pipelines
Responsibilities
Design, implement, test, and ship full-stack features for AI Solutions products; Build backend APIs, data models, ingestion flows, and dashboards; Contribute to technical designs and turn product requirements into implementation plans; Own features and services in production by improving observability, reliability, and security; Build AI-enabled and agentic workflows with evaluation and safeguards; Review human- and AI-generated code for correctness and quality.
Seniority
Mid-level, hands-on IC