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Tier-1 brand, metro location, and broad, in-demand ML skillset increase competition.
Role requires specialized agent/ML and developer-infrastructure experience, limiting cross-industry transferability.
Explicit 7+ years requirement and mandatory ML/agent and systems experience raise shortlisting strictness.
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Design and build AI agents with autonomous multi-step workflows to improve engineering team productivity and quality across Salesforce.
Develop and scale AI agent orchestration layers and quality readiness scoring platforms integrating with CI/CD, test frameworks, and developer tools.
Create tooling and ecosystems for onboarding, remediation, and shared agent contribution across large engineering teams.
7+ years of software engineering experience building production systems at scale.
Strong proficiency in Java, Python, or TypeScript.
Experience building AI agents or agentic systems involving structured prompting, tool use, multi-step reasoning, and context management.
Solid understanding of software testing, CI/CD pipelines, and developer tooling.
Experienced in designing large-scale, reliable multi-tenant systems with high developer adoption focus.
Background in developer productivity tools, test infrastructure, or code intelligence systems used extensively across engineering organizations.
Proven ability to break down ambiguous problems into iterative, shippable product increments and drive adoption through tool quality.