Salesforce AI and Agentic Engineer

Key Responsibilities

• Build and integrate Einstein, GPT, and Salesforce AI capabilities into business workflows.
• Design agentic capabilities such as autonomous workflows, reasoning chains, dynamic task execution and contextual assistance within Salesforce apps.
• Develop LWC, Apex, Flows, and platform events to deliver AI‑augmented user experiences.
• Implement Retrieval Augmented Generation (RAG) patterns and integrate external data sources for enhanced AI responses.
• Work with prompts, prompt templates, grounding strategies, embeddings, vector search, and knowledge augmentation.
• Implement, test, and refine AI copilots, AI assistants, service bots, and conversational experiences.
• Collaborate with architects to define AI governance, trust, safety, and responsible use guardrails.
• Build integrations with external AI platforms (OpenAI, Azure OpenAI, Anthropic, etc.) as required.

Optimize performance, accuracy, and reliability of AI workflows and ensure alignment with business outcomes.

Required Skills

• 4–8 years of Salesforce development experience (Apex, LWC, Flows).
• Strong understanding of Salesforce AI features including Einstein, GPT, Copilot Studio, Prompt Builder, and Model Builder.
• Hands-on experience with LLMs, prompt engineering, embeddings, vector databases, or agentic frameworks.
• Experience integrating Salesforce with external APIs and AI platforms.
• Understanding of data modeling, security, and ethical considerations for AI-driven applications.
• Strong problem-solving abilities with an experimentation mindset.

Key Responsibilities

• Build and integrate Einstein, GPT, and Salesforce AI capabilities into business workflows.
• Design agentic capabilities such as autonomous workflows, reasoning chains, dynamic task execution and contextual assistance within Salesforce apps.
• Develop LWC, Apex, Flows, and platform events to deliver AI‑augmented user experiences.
• Implement Retrieval Augmented Generation (RAG) patterns and integrate external data sources for enhanced AI responses.
• Work with prompts, prompt templates, grounding strategies, embeddings, vector search, and knowledge augmentation.
• Implement, test, and refine AI copilots, AI assistants, service bots, and conversational experiences.
• Collaborate with architects to define AI governance, trust, safety, and responsible use guardrails.
• Build integrations with external AI platforms (OpenAI, Azure OpenAI, Anthropic, etc.) as required.

Optimize performance, accuracy, and reliability of AI workflows and ensure alignment with business outcomes.