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Tier-1 brand, remote role, mid-level AI engineer with broad skills increases competition.
Highly specialized ML/AI and GTM integration skills limit transferability across industries.
Multiple mandatory technical requirements (5+ years, agentic AI, Salesforce, vector DBs, DevSecOps) enforce strict filters.
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Own end-to-end development and production deployment of agentic AI solutions for GTM applications including Salesforce, Slack, and in-house platforms.
Design scalable AI architectures and build LLM-powered workflows, autonomous agents, multi-agent systems, and RAG pipelines with operational responsibility for CI/CD, infrastructure, and observability.
Drive platform reliability by implementing DevSecOps, infrastructure-as-code, error handling, and retiring legacy systems to automate GTM processes and enhance business velocity.
Bachelor’s degree in Computer Science, Engineering, or related field.
5+ years software engineering experience including application and platform/infrastructure work.
Proficiency in Python and TypeScript/JavaScript; experience with agentic AI frameworks and enterprise-scale LLM-powered systems.
Experience in Salesforce development (Apex, LWC, integrations), CI/CD pipelines, container orchestration, vector databases, and DevSecOps practices.
Experienced in hybrid AI engineering roles combining application development and platform reliability within enterprise GTM contexts.
Strong background with modern AI orchestration frameworks (e.g., LangChain, LangGraph) and hands-on operational responsibility for AI system deployment and maintenance.
Familiar with scalable, event-driven architectures and automation in multi-stack environments including Salesforce and Slack integrations.