Agentic AI Native Salesforce Developer Consultant

Function: Engineering, AI Innovation & Salesforce Development
Experience: 0 to 6+ Years
Location: Remote
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 engineering 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
1. 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.
2. 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.
3. 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.
4. 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.
5. 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.
6. 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.
Required Skills & Qualifications
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.
What We Value Most
Build-first mindset. Strong technical fundamentals. AI-native execution. Product thinking. Rapid learning. Independent ownership.
We are not looking for someone who knows every framework or tool already. We are looking for someone who understands technology deeply enough to learn what is new, choose the right approach and independently build what is needed next.
If you enjoy experimenting with emerging AI tools, solving challenging engineering problems and building the future of enterprise software on Salesforce, we would like to hear from you.

Work arrangement
Yes