Agentic AI Native Salesforce Developer Consultant

About the Role

We are looking for a highly curious, hands-on, technically strong AI Native Salesforce & Agentic AI Developer Consultant to build next-generation enterprise applications, AI agents, intelligent automations, reusable accelerators, and AI-native solutions. This role combines Salesforce Engineering, Agentforce, Anthropic Claude, emerging AI technologies, and AI native software delivery. You will work closely with product leadership to research, experiment, architect, prototype, develop, test, and deliver innovative solutions across Salesforce and connected enterprise ecosystems. We are particularly interested in individuals who can turn ideas into working solutions, independently explore emerging technologies, and continuously adopt newer, faster, and better ways of building software.

Key Responsibilities

• AI Native Engineering & Software Development

• Design, develop, debug, test, and deploy Salesforce applications, AI-powered solutions, integrations, reusable components, and accelerators.

• Leverage Claude Code, Salesforce Development Plugin, Agentforce Vibes, GitHub Copilot, OpenAI Codex, Cursor, and other AI coding tools.

• Apply AI-assisted and agentic SDLC, spec-driven development, agentic coding, automated testing, code review, CI/CD, and modern DevOps practices.

• Use AI agents, skills, plugins, and developer automation to accelerate end-to-end engineering delivery.

• Salesforce Platform & Agentforce

• Build on Salesforce using Apex, LWC, JavaScript, SOQL, Flow, Salesforce APIs, metadata, and Salesforce CLI/DX.

• Explore and implement Agentforce, Agent Script, Agentforce DX, Agentforce Builder, Data 360, AIforce, Headless 360, and Salesforce MCP capabilities.

• Build custom agent actions, reusable skills, governed business workflows, headless integrations, and AI-native interfaces.

• Understand Salesforce security, permissions, data models, governor limits, automation, testing, and deployments.

• Agentic AI, LLMs & Emerging Architectures

• Develop AI agents and intelligent workflows using Claude, OpenAI, Gemini, and other leading models and frameworks.

• Understand and apply LLMs, prompting, context engineering, RAG, grounding, embeddings, vector search, tool/function calling, structured outputs, and memory.

• Explore MCP, Agent2Agent (A2A), AI Skills, subagents, multi-agent orchestration, agent handoffs, agent harnesses, and long-horizon execution.

• Integrate AI capabilities securely with Salesforce, APIs, enterprise applications, and external systems.

• Full-Stack Development, APIs & Integration

• Build applications using relevant technologies such as Python, JavaScript/TypeScript, Node.js, React, and REST/GraphQL APIs.

• Work with OAuth, webhooks, event-driven integrations, Git, GitHub, CLI tooling, and cloud environments.

• Explore headless architectures, composable applications, generative UI, multi-framework applications, and agent-native experiences.

• Convert business requirements into scalable, reusable, and maintainable technical solutions.

• Quality, Security & Enterprise Readiness

• Implement automated testing, regression testing, agent evaluations, tracing, debugging, observability, and performance optimization.

• Follow secure engineering practices including least-privilege access, guardrails, human approval, data protection, and auditability.

• Validate AI-generated code, outputs, and actions rather than relying on AI responses without verification.

• Balance implementation quality, execution speed, reliability, and operating cost.

• Product Innovation & Continuous Learning

• Proactively track Salesforce, Anthropic, OpenAI, Google, Microsoft, and other emerging technology developments.

• Rapidly evaluate new tools, SDKs, APIs, models, frameworks, protocols, and engineering methods.

• Independently build proofs of concept, product prototypes, customer demonstrations, and reusable technical assets.

• Collaborate with product, architecture, and engineering teams to transform new ideas into practical, differentiated solutions.

Requirements & Tech Stack

• 0–6+ years of experience in software engineering, Salesforce development, AI applications, or relevant project work. Exceptional fresh graduates with strong hands-on portfolios are welcome.
• Sound understanding of programming fundamentals, APIs, data structures, debugging, databases, and software architecture.
• Working knowledge of Salesforce development or strong full-stack engineering fundamentals with demonstrated ability to learn Salesforce.
• Practical experience using at least one modern AI coding assistant, preferably Claude Code, Cursor, Codex, or GitHub Copilot.
• Foundational understanding of generative AI, LLMs, prompts, APIs, agents, and tool calling.
• Ability to independently build, troubleshoot, validate, and demonstrate working solutions.
• Strong problem-solving, technical research, ownership, communication, and continuous-learning abilities.

Good to Have (Not Mandatory)

• Salesforce certifications, Trailhead projects, Agentforce experience, or Salesforce CLI/DX proficiency.
• Experience with Claude Agent SDK, OpenAI Agents SDK, LangGraph, LlamaIndex, MCP servers, A2A, custom Skills, or multi-agent architectures.
• Exposure to Salesforce Revenue Cloud/ARM, CPQ, Billing, Financial Services Cloud, Insurance, Communications Cloud, Media Cloud, or OmniStudio.
• Familiarity with Heroku, MuleSoft, AWS, Azure, Google Cloud, Data 360, AppExchange packaging, or enterprise integrations.
• Experience with RAG pipelines, vector databases, evaluation frameworks, AgentOps, observability, or secure agent execution.
• Hackathon projects, GitHub repositories, open-source contributions, or working AI/Salesforce applications.