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Tier-1 brand, remote role, and mid-level AI specialization create high applicant competition.
Role requires domain-specific AI, platform, and Salesforce expertise, limiting cross-industry transferability.
Explicit 5+ years plus many mandatory AI, DevOps, and Salesforce skills increases shortlisting strictness.
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Lead end-to-end engineering delivery of agentic AI capabilities for GTM applications including Salesforce, Slack, and in-house platforms.
Design, build, and deploy LLM-powered workflows, autonomous agents, and multi-agent systems with CI/CD, infrastructure-as-code, and DevSecOps practices.
Own platform observability, infrastructure management, and architectural patterns for scalable enterprise AI systems in GTM domains.
Bachelor’s degree in Computer Science, Engineering, or related field.
5+ years of software engineering experience including both application development and platform/infrastructure responsibilities.
Proficiency in Python and TypeScript/JavaScript; hands-on experience with agentic AI frameworks, autonomous agents, and LLM systems.
Salesforce development experience with Apex, Lightning Web Components, Platform Events, and integrating AI backends.
Experienced in building production-grade AI systems integrating distributed workflows, platform observability, and automation pipelines.
Strong background in scalable AI architecture including model routing, orchestration, and vector search for enterprise GTM data.
Able to operate across Dev and DevOps responsibilities with expertise in DevSecOps, CI/CD pipelines, cloud infrastructure (AWS, Kubernetes), and Salesforce platform.