Lead AI Engineer, GTM Applications

This is a fully remote position, open to applicants in California.

📋 Description

• Oversee the engineering delivery of agentic AI capabilities for GTM stakeholders throughout its technology stack (Salesforce, Slack, third-party applications) and In-House Platforms.

• Create and construct LLM-powered workflows, autonomous agents, multi-agent systems, and AI-enhanced integrations utilizing Agentcore, Slack, MCPs, and Langchain.

• Establish scalable enterprise AI architecture patterns encompassing model routing, orchestration, memory management, and governance strategies.

• Design and refine Retrieval Augmented Generation (RAG) systems, semantic search pipelines, vector retrieval techniques, and enterprise knowledge grounding frameworks.

• Develop and sustain Apex, Lightning Web Components, Salesforce Platform Events, and Agentforce agent actions.

• Implement AI evaluation frameworks that include prompt quality benchmarking, hallucination reduction, and model performance monitoring.

• Mentor senior and mid-level engineers, conducting code reviews and reinforcing AI engineering standards.

• Specify error handling, fallback strategies, and graceful degradation patterns for non-deterministic AI systems.

• Phase out legacy integrations and substitute them with contemporary, agentic, event-driven patterns.

• Advocate for security-first AI engineering practices: input validation, output sanitization, and prompt injection hardening.

• Design and execute CI/CD pipelines, deployment automation, and platform observability.

• Integrate Agentic AI and LLM-powered tools as a fundamental aspect of your engineering practices.

• Keep abreast of swiftly changing AI/ML technologies and apply them effectively to GTM systems.

• Promote automation-first thinking—if it can be agentic, make it agentic.

• Create internal tools and applications to enhance data access and GTM decision-making.

• Establish data governance and monitoring frameworks to improve GTM system quality.

• Assess vendors and AI platforms with a strategic build versus buy approach.

• Identify and automate manual processes to boost organizational leverage.

⛳️ Requirements

• Bachelor’s degree in Computer Science, Engineering, or a related field.

• Over 8 years of software engineering experience, with at least 3 years in a lead or principal position.

• Strong expertise in Python and TypeScript/JavaScript for AI and integration development.

• Practical production experience with Agentic AI frameworks, document parsing, structured extraction pipelines, enterprise AI applications, autonomous agents, and LLM-powered systems.

• Familiarity with modern AI orchestration frameworks such as LangGraph, Semantic Kernel, CrewAI, AutoGen, MCP, Langchain, and similar technologies.

• Experience in Salesforce development, including Apex, LWC, REST/SOAP integrations, Platform Events, and Agentforce.

• Proficient in vector databases and retrieval optimization techniques.

• Experience with cloud infrastructure, including AWS Bedrock, Vertex AI, workflow orchestration, CI/CD tools (GitHub Actions, Copado, Jenkins), and DevOps practices.

• Strong understanding of LLM limitations, token economics, and model selection trade-offs.

🏝️ Benefits

• Industry-leading compensation and equity awards.

• Extensive physical and mental wellness programs.

• Competitive vacation and holiday offerings for rest and rejuvenation.

• Paid parental and adoption leave policies.

• Professional development opportunities available for all employees, regardless of level or role.

• Employee Networks, geographic neighborhood groups, and volunteer opportunities to foster connections.

• Dynamic office culture featuring world-class amenities.

• Great Place to Work Certified™ globally.