Job Title: Sr. Salesforce Developer (AI/LLM Focus)
Location: Remote
Duration: Contract (1+ Year)

Role Overview:
We are seeking a Salesforce Architect with strong hands-on development expertise and experience integrating AI/LLM capabilities into enterprise applications. This role will focus on designing scalable Salesforce solutions while enabling intelligent automation using modern AI technologies.

Key Responsibilities:

• Architect and develop Salesforce solutions, including custom objects, Apex, Visualforce, Lightning Components (Aura & LWC), workflows, validation rules, reports, and dashboards.
• Design and implement integrations using REST/SOAP APIs and middleware tools like MuleSoft.
• Build scalable data processing solutions using Batch Apex, scheduled jobs, and asynchronous frameworks.
• Manage deployments and release cycles using CI/CD tools (GitHub, Azure DevOps, Jenkins).
• Implement secure integrations with identity providers (e.g., OKTA) and external systems.
• Integrate AI capabilities within Salesforce using platforms such as Salesforce Einstein AI and external LLM APIs like OpenAI API.
• Develop AI-driven use cases such as case summarisation, email/content generation, chatbots, and knowledge automation.
• Apply prompt engineering, embeddings, and Retrieval-Augmented Generation (RAG) techniques for contextual AI solutions.
• Ensure data security, governance, and compliance in AI implementations.

Required Skills & Experience:

• 10+ years of Salesforce development experience (or equivalent combination of education and experience).
• Strong expertise in Apex, LWC, Aura, Visualforce, and Lightning App Builder.
• Experience with Salesforce data model, SOQL/SOSL, triggers, batch processing, and governor limits.
• Hands-on experience with integrations (REST/SOAP), MuleSoft, and data migration tools (Data Loader).
• Proficiency in web technologies: JavaScript, AJAX, AngularJS, CSS/Bootstrap.
• Experience with DevOps and CI/CD pipelines (GitHub, Jenkins, Azure DevOps).
• Experience implementing SSO (e.g., OKTA).
• Working knowledge of LLMs (e.g., GPT models) and AI integration patterns.
• Experience integrating AI/LLM APIs into enterprise workflows.
• Understanding of prompt engineering, semantic search, and AI-driven automation.
• Exposure to the Salesforce AI ecosystem (Einstein AI / Einstein GPT) is highly preferred.

Certifications (Preferred):

• Salesforce Certified Platform Developer I & II
• Salesforce Certified Administrator / App Builder
• AI/ML or Salesforce Einstein certifications (Nice to have)