Drimva

Salesforce

Expert Agent Builder, Forward Deployed Engineering

$158K–$317K

California - San Francisco · Office - Flexible · Full-time · Posted Sep 29, 2026

Experience
8+ years; no alternatives stated.
Education
Strong background in Computer Science or a related engineering discipline; no degree specified.

About the job

Architects, builds, and delivers complex AI agent systems that address enterprise customer challenges using Agentforce and related technologies.

What you'll do

  • Design, develop, and deploy agentic AI solutions integrated with enterprise systems.
  • Set and enforce engineering best practices for quality, scalability, and security; resolve complex technical blockers.
  • Develop data models and processing pipelines and customize the Salesforce platform to support AI solutions.

What they ask for

  • 8+ years of hands-on, end-to-end delivery experience for high-quality, scalable production solutions; strong background in Computer Science or a related engineering discipline.
  • Expert proficiency in one or more programming languages; deep knowledge of object-oriented programming and databases; experience with React, Angular, or LWC.
  • Hands-on experience building and deploying AI/LLM solutions, including agent systems, orchestration frameworks, machine learning, NLP, prompt engineering, RAG, and evaluation/testing.
  • Expertise in data modeling, processing, integration, and analytics; enterprise data platform proficiency; automated testing experience; ability to travel 30% as needed.

Nice to have

  • Direct Salesforce platform experience; open-source AI framework contributions; advanced Salesforce certifications.
  • Professional Apex, Javascript, and/or Python experience; agentic voice systems or speech APIs; focus on high-quality user experiences.

Pay

$157,640 - $287,910 annually (base salary); $173,460 - $316,750 per year (base pay)

Tools

Agentforce, LangChain, LlamaIndex, Java, Apex, JavaScript, Python, React

AI focus

Architects and builds agentic AI systems, integrating LLMs and orchestration frameworks; develops custom agents, applies prompt engineering and advanced RAG, and creates evaluation and testing frameworks. Also informs Agentforce product enhancements.

Model-written summary · the original posting is authoritative

First seen Oct 10, 2026 · Last verified Nov 4, 2026 (UTC)