Lead AI Engineer, GTM Applications (Remote)
Tasks
- Build internal tools for data access and GTM decision making
- Conduct code reviews and enforce AI engineering standards
- Define enterprise AI architecture patterns
- Design and build LLM powered workflows
- Design and build autonomous agents and multi agent systems
- Design and optimize retrieval-augmented generation systems
- Implement AI evaluation and monitoring frameworks
- Implement CI/CD pipelines and deployment automation
- Implement Salesforce Apex and Lightning Web Components
- Implement Slack integrated agentic workflows
- Implement error handling and graceful degradation patterns
- Implement security first AI engineering including prompt injection hardening
- Lead hands on delivery of agentic AI solutions
- Retire legacy integrations with event driven patterns
Perks/Benefits
- Employee networks
- Great Place to Work certification
- Paid adoption leave
- Paid parental leave
- Paid time off
- Professional development opportunities
- Remote work
- Volunteer opportunities
- Wellness programs
Skills/Tech-stack
AWS | AWS Bedrock | Agentforce | Apex | Autogen | CI/CD | Copado | CrewAI | GitHub Actions | Google Vertex | Google Vertex AI | JavaScript | Jenkins | Jira | LLM Evaluation | Langchain | Langgraph | Lightning Web | Lightning Web Components | MCP | Model routing | Orchestration | Platform Events | Prompt Injection Hardening | Prompt engineering | Prompt injection | Python | REST | Retrieval-Augmented Generation | SOAP | Salesforce | Semantic Kernel | Semantic Search | TypeScript | Vector Databases | Vertex AI | Web Components
Education
Bachelor of Arts | Bachelor of Engineering | Bachelor of Science
Roles
AI | AI Engineer | Engineer | Lead | Lead Software Engineer | Software Engineer
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