Senior Engineer, AI Agents & Developer Tools

Salesforce, Inc.; Oregon; Hybrid; USD 173,000 - 314,000; Full time

Job summary

Salesforce, Inc. is seeking an engineer to help build a new Software Factory team focused on codifying and deploying agentic software at scale.

You will own end-to-end delivery from design through launch, shipping to demanding internal customers while embedding AI capabilities into the platform. The role emphasizes building developer tooling, operating a containerized environment with strict security, and driving a feedback loop using telemetry and evaluations to improve agent behavior across

Qualifications

• Proven experience building developer tooling used daily by engineers.
• Experience delivering complex distributed systems from design to production.
• Comfort owning a containerized environment end to end, including network rules and secrets.
• Ability translate signals (session logs, PR threads, eval results) into concrete fixes and show it worked.

Responsibilities

• Make our monorepo agent-native: instruction files, skills, and progressive disclosure that get an agent to the right code in minutes, re-audited with every new model
• Build the feedback loop: session telemetry across Cursor, Claude Code, and Codex, evals, and PR review analysis that separates wrong decisions from bad context
• Own the agent sandbox: a full dev environment in a container, with proxy-only network access and secrets swapped at the proxy so agents never hold real credentials
• Evaluate and integrate orchestration that starts agent work from Slack, Linear, GitHub, and schedules, with sound build-vs-buy judgment
• Build the guardrails (verification, evals, and review) that let more agent work merge with less human hands-on time
• Teach the engineering org to work with agents day to day, through enablement sessions and shared patterns
• Own delivery from design through launch, monitoring, and iteration

Job description

Salesforce, Inc. is seeking an engineer to help build a new Software Factory team focused on codifying and deploying agentic software at scale.

You will own end-to-end delivery from design through launch, shipping to demanding internal customers while embedding AI capabilities into the platform. The role emphasizes building developer tooling, operating a containerized environment with strict security, and driving a feedback loop using telemetry and evaluations to improve agent behavior across