Description

We build internal platforms and intelligent systems that power Salesforce demo experiences across products and industries. Our focus is evolving from traditional tooling to AI-driven platforms—embedding agents, automation, and intelligence into how demos are created, configured, and delivered.

This is not a traditional feature team. We build platforms, abstractions, and AI capabilities that other teams depend on.

🚀 What You’ll Do

As a Member of Technical Staff (MTS), you’ll contribute to building and evolving AI-powered internal platforms used daily across the org. You will:

• Design and build full-stack applications (frontend + backend) for internal AI-powered tools

• Develop and maintain scalable backend services, APIs, and microservices

• Build and integrate LLM-powered agents into internal workflows (automation, orchestration, task execution)

• Design and implement reusable “skills”/tools that agents can invoke to interact with internal systems

• Build Slack-based tools, bots, and AI-driven workflows for self-service and automation

• Implement retrieval-augmented systems (RAG), embeddings, and context-aware data pipelines

• Work across frontend (Angular, Vue, React or similar) and backend (Node.js/Python) to deliver end-to-end experiences

• Write clean, maintainable, and scalable code with strong focus on reliability and observability

• Participate in design discussions, code reviews, and technical decision-making

• Partner closely with product managers, designers, and engineers to ship impactful solutions

• Continuously evaluate and improve system performance, cost, and developer experience

🧠 What We’re Looking For

• 4–6 years of professional software development experience

• Strong fundamentals in software engineering, system design, and distributed systems

• Proficiency in JavaScript/TypeScript and modern backend frameworks (Node.js preferred)

• Working knowledge of Python for AI/ML integrations

• Experience building and consuming RESTful APIs and microservices

• Experience with modern frontend frameworks (React, Angular, Vue, or similar)

• Hands-on experience integrating LLM APIs and building AI-assisted features

• Understanding of agentic patterns (tool use, orchestration, prompt design, structured outputs)

• Familiarity with data handling for AI systems (structured/unstructured data, APIs, storage)

• Strong understanding of version control (Git) and collaborative workflows

• Ability to take ownership from design through production in ambiguous environments

🌟 Nice to Have

• Experience with agent frameworks such as LangChain or AutoGPT

• Experience with vector databases such as Pinecone or Weaviate

• Experience building RAG pipelines and context-aware AI systems

• Familiarity with Slack APIs, bots, and conversational interfaces

• Experience working with Salesforce platforms (Sales, Service, Experience Cloud, Data Cloud, Agentforce)

• Experience building internal developer platforms or enablement tooling

• Awareness of AI system risks (prompt injection, data leakage, reliability issues)

💡 Why This Role Matters

This role sits at the intersection of platform engineering and applied AI. The systems you build will define how Salesforce teams leverage AI to create, customize, and deliver demos at scale. You are not just building tools—you are building the intelligence layer that powers how demos are generated, orchestrated, and experienced across the organization.