Ai Fullstack developer

Key Responsibilities

• Partner directly with customers to understand complex business problems and translate them into scalable technical solutions.
• Lead technical discovery sessions and translate ambiguous business requirements into actionable solution designs.
• Design and build Agentforce-based autonomous and assistive agents using topics, instructions, actions, prompts, Flow, Apex, APIs, and enterprise data.
• Develop Salesforce applications using Apex, Lightning Web Components (LWC), Flow, SOQL, REST APIs, Platform Events, and other Salesforce platform capabilities.
• Design AI-powered workflows grounded in Salesforce, Data Cloud, Knowledge, and external enterprise data.
• Build and configure Data Cloud solutions, including data ingestion, harmonization, identity resolution, calculated insights, segmentation, and activation.
• Integrate Salesforce with enterprise applications and AI platforms through APIs, MuleSoft, event-driven patterns, and custom integration services.
• Build prototypes and proof-of-concepts quickly, validate them with customers, and evolve successful prototypes into production-grade solutions.
• Develop supporting services and utilities using technologies such as Python, JavaScript/TypeScript, APIs, and cloud-native services where Salesforce-native capabilities alone are insufficient.
• Apply Generative AI and LLM capabilities to use cases such as intelligent search, summarization, classification, recommendations, workflow automation, and autonomous task execution.
• Design appropriate human-in-the-loop controls, guardrails, permissions, observability, auditability, and responsible AI mechanisms.
• Troubleshoot complex application, integration, data, and AI issues across Salesforce and connected platforms.
• Collaborate with Salesforce architects, developers, data engineers, AI engineers, product teams, and customer engineering organizations.
• Establish reusable engineering patterns and accelerators that can be leveraged across multiple customer engagements.
• Provide technical leadership from initial discovery through architecture, development, testing, deployment, stabilization, and handover.

Required Experience

• Strong hands-on experience with the Salesforce Platform, including Apex, LWC, Flow, SOQL, security, data model, and integration capabilities.
• Experience designing or implementing solutions using Salesforce Agentforce and/or Generative AI capabilities.
• Strong understanding of Salesforce integration patterns, REST/SOAP APIs, event-driven architecture, authentication, and enterprise integration.
• Experience writing production-quality code using Apex and at least one general-purpose language such as Python or JavaScript/TypeScript.
• Understanding of LLM concepts including prompting, grounding, retrieval/RAG, tool/action execution, structured outputs, evaluation, and AI guardrails.
• Experience taking solutions from prototype or POC through enterprise production deployment.
• Strong understanding of enterprise architecture, security, scalability, performance, and software engineering practices.
• Ability to independently diagnose technical issues across applications, integrations, APIs, data, and AI components.
• Experience in enterprise domains such as Sales, Service, CPQ/Revenue, Healthcare & Life Sciences, Financial Services, Telecom, or Commerce is beneficial