Lead AI Engineer, GTM Applications (Remote)
Core
Lead hands-on engineering delivery of agentic AI solutions, LLM-powered workflows, and autonomous agents within the GTM technology stack to accelerate business velocity.
Role type
Senior IC Lead AI Engineer (Agentic AI & Salesforce)
Builds
Production-grade AI-powered systems, intelligent GTM workflows, and automation services across Salesforce, Slack, and in-house platforms.
Domain
Cybersecurity / Go-To-Market (GTM) Applications
Deliverable
production ML models | product features
Required skills
Python, TypeScript/JavaScript, Agentic AI frameworks (LangGraph, Semantic Kernel, CrewAI, AutoGen, MCP, Langchain), Salesforce development (Apex, LWC, Agentforce), Vector databases, Cloud infrastructure (AWS Bedrock, Vertex AI), CI/CD tooling, LLM limitations and model selection.
Preferred skills
Salesforce Platform Developer II or Application Architect certification, Slack app development, Open-source AI framework contributions, Model fine-tuning and evaluation.
Technologies
Agentcore, Slack, MCPs, Langchain, Apex, Lightning Web Components, Salesforce Platform Events, Agentforce, AWS Bedrock, Vertex AI, GitHub Actions, Copado, Jenkins, LangGraph, Semantic Kernel, CrewAI, AutoGen, MCP, Langchain
Responsibilities
Lead engineering delivery for agentic AI capabilities; Design and build LLM-powered workflows and multi-agent systems; Define scalable enterprise AI architecture patterns; Design and optimize RAG systems and semantic search pipelines; Build and maintain Salesforce components and Agentforce actions; Implement AI evaluation frameworks; Mentor engineers and enforce AI engineering standards; Architect CI/CD pipelines and platform observability.
Seniority
Senior, hands-on IC with leadership responsibilities