Hands-on experience with llms and prompt engineering
Proficiency in python, node.js, bash scripting
This role sits at the intersection of AI-assisted development, Salesforce platform expertise, and customer enablement, focusing on the future of AI agents
Job Summary
This role sits at the intersection of AI-assisted development, Salesforce platform expertise, and customer enablement, focusing on the future of AI agents.
The successful candidate will design, build, and operationalize agentic AI-driven workflows using Large Language Models and tools like Agentforce Vibes and GitHub Copilot.
Salesforce offers a competitive base salary range of $157,640 - $210,910 annually, along with comprehensive benefits including medical, dental, vision, and 401(k) matching.
Matching Summary
This role sits at the intersection of AI-assisted development, Salesforce platform expertise, and customer enablement, focusing on the future of AI agents.
Salary
Base: $157,640 - $210,910 annually; Bonus/Equity: Not specified; Benefits: Medical, dental, vision, mental health support, paid parental leave, 401(k), stock purchasing program
Skills & Requirements
Must-have
Salesforce Platform expertise (Apex, LWC, Flow)
Hands-on experience with LLMs and prompt engineering
Proficiency in Python, Node.js, Bash scripting
Experience with DevOps tools (Git, CI/CD, Docker)
Background as Platform or Technical Architect
Nice-to-have
Salesforce Certifications
Open source contributions and community participation
Experience sourcing data from Hugging Face/Kaggle
Familiarity with Agentforce and Einstein AI features
Previous Solution/Sales Engineering experience
Key Requirements
Minimum 4 years of professional experience
B.S. in Computer Science, Software Engineering, or MIS