Salesforce AgentForce Developer (Generative & Agentic AI Specialist)
Red Oak Technologies, Pleasanton, CA, United States
Red Oak Technologies is a leading provider of comprehensive resourcing solutions across a variety of industries and sectors including IT, Marketing, Finance, Business Operations, Manufacturing and Engineering.
Our client is a life science research company. They are looking for a
Salesforce AgentForce Developer (Generative & Agentic AI Specialist)
to join their team. This role is a
CONTRACT
position. Position will be
HYBRID . Candidate must be able to commute onsite to
Pleasanton, CA.
Hybrid in Pleasanton, CA
Contract
Position Summary We are seeking a highly skilled Salesforce AgentForce Developer with strong expertise in Generative AI and Agentic AI architectures. The ideal candidate will design, develop, and deploy intelligent autonomous agents using Salesforce AgentForce while leveraging Salesforce AI capabilities such as Einstein, Prompt Builder, Data Cloud, and the Trust Layer.
This role requires deep knowledge of all key components of Salesforce AgentForce and a solid understanding of modern AI systems, including LLMs, prompt engineering, AI governance, and enterprise‑grade AI architecture.
Responsibilities
Design and build AI‑powered agents using Salesforce AgentForce.
Configure and manage Agent Builder:
Topics
Actions (Flow, Apex, API‑based)
Implement end‑to‑end agent workflows integrating Salesforce Clouds (Sales, Service, Experience, Marketing)
Develop custom Apex logic and Lightning Web Components (LWC) to extend agent capabilities
Generative & Agentic AI Implementation:
Design and implement generative AI solutions using Prompt Builder and LLM integrations
Apply prompt engineering best practices for performance, tone, safety, and accuracy
Architect agentic workflows involving reasoning, multi‑step task execution, and decision‑making
Implement Retrieval‑Augmented Generation (RAG) patterns where applicable
Ensure AI governance, security, and compliance using Salesforce Einstein Trust Layer
Optimize AI model performance and response evaluation
Define scalable AI architecture within the Salesforce ecosystem
Implement data governance and security policies for AI‑driven workflows
Collaborate with Solution Architects, Data Architects, and Business Stakeholders
Follow DevOps best practices using Salesforce DX, CI/CD pipelines
Conduct code reviews, testing, and performance tuning
Qualifications
Bachelor’s or Master’s degree in Computer Science, AI, Engineering, or related field
5+ years of Salesforce development experience
Hands‑on experience with Salesforce AgentForce implementation
Solid understanding of Generative AI concepts; Large Language Models (LLMs); Agentic AI frameworks; Prompt engineering; RAG architecture; AI safety & governance; Model evaluation techniques
Required Certifications (Mandatory): Salesforce Platform Developer I & II; Salesforce AI Specialist; Salesforce AgentForce Specialist; Salesforce Data Cloud Consultant; Salesforce Application or System Architect; AI/ML certification from recognized institutions (e.g., AWS AI Specialty, Azure AI Engineer Associate, Google Professional ML Engineer)
Must have knowledge of Apex & Lightning Web Components (LWC); Flows & Automation; REST API integrations; Prompt Engineering; Generative AI Architecture; Agentic Workflow Design
Excellent communication and stakeholder management skills
Red Oak Technologies is made up of people from a wide variety of backgrounds and lifestyles. We embrace diversity and invite applications from people of all walks of life. See what it’s like to be at the top; connect with one of our recruiters and apply today.
#J-18808-Ljbffr
Our client is a life science research company. They are looking for a
Salesforce AgentForce Developer (Generative & Agentic AI Specialist)
to join their team. This role is a
CONTRACT
position. Position will be
HYBRID . Candidate must be able to commute onsite to
Pleasanton, CA.
Hybrid in Pleasanton, CA
Contract
Position Summary We are seeking a highly skilled Salesforce AgentForce Developer with strong expertise in Generative AI and Agentic AI architectures. The ideal candidate will design, develop, and deploy intelligent autonomous agents using Salesforce AgentForce while leveraging Salesforce AI capabilities such as Einstein, Prompt Builder, Data Cloud, and the Trust Layer.
This role requires deep knowledge of all key components of Salesforce AgentForce and a solid understanding of modern AI systems, including LLMs, prompt engineering, AI governance, and enterprise‑grade AI architecture.
Responsibilities
Design and build AI‑powered agents using Salesforce AgentForce.
Configure and manage Agent Builder:
Topics
Actions (Flow, Apex, API‑based)
Implement end‑to‑end agent workflows integrating Salesforce Clouds (Sales, Service, Experience, Marketing)
Develop custom Apex logic and Lightning Web Components (LWC) to extend agent capabilities
Generative & Agentic AI Implementation:
Design and implement generative AI solutions using Prompt Builder and LLM integrations
Apply prompt engineering best practices for performance, tone, safety, and accuracy
Architect agentic workflows involving reasoning, multi‑step task execution, and decision‑making
Implement Retrieval‑Augmented Generation (RAG) patterns where applicable
Ensure AI governance, security, and compliance using Salesforce Einstein Trust Layer
Optimize AI model performance and response evaluation
Define scalable AI architecture within the Salesforce ecosystem
Implement data governance and security policies for AI‑driven workflows
Collaborate with Solution Architects, Data Architects, and Business Stakeholders
Follow DevOps best practices using Salesforce DX, CI/CD pipelines
Conduct code reviews, testing, and performance tuning
Qualifications
Bachelor’s or Master’s degree in Computer Science, AI, Engineering, or related field
5+ years of Salesforce development experience
Hands‑on experience with Salesforce AgentForce implementation
Solid understanding of Generative AI concepts; Large Language Models (LLMs); Agentic AI frameworks; Prompt engineering; RAG architecture; AI safety & governance; Model evaluation techniques
Required Certifications (Mandatory): Salesforce Platform Developer I & II; Salesforce AI Specialist; Salesforce AgentForce Specialist; Salesforce Data Cloud Consultant; Salesforce Application or System Architect; AI/ML certification from recognized institutions (e.g., AWS AI Specialty, Azure AI Engineer Associate, Google Professional ML Engineer)
Must have knowledge of Apex & Lightning Web Components (LWC); Flows & Automation; REST API integrations; Prompt Engineering; Generative AI Architecture; Agentic Workflow Design
Excellent communication and stakeholder management skills
Red Oak Technologies is made up of people from a wide variety of backgrounds and lifestyles. We embrace diversity and invite applications from people of all walks of life. See what it’s like to be at the top; connect with one of our recruiters and apply today.
#J-18808-Ljbffr