Salesforce (AI) Platform Engineer

Position Overview: Randstad Digital is building an agentic framework a Salesforce-native, multi-agent AI platform: an orchestrator “brain” coordinating Agentforce specialists, LLM engines and deterministic Apex skills across channels (in-org voice assistant, Google Chat, mobile). We are seeking a Salesforce AI Platform Engineer with 4+ years of experience to help build the platform itself — not configuration, not release management — working in an AI-first model, pairing daily with Claude-based engineering agents alongside our IT Director and engineers.

Key Responsibilities:

• Platform Engineering (Apex): Design and extend orchestration layers — planner loops, deterministic intent routing, circuit breakers, audit trails, session continuity — with rigorous callout/DML ordering and a test-first discipline.
• LLM Integration: Build against Anthropic Claude and Google Gemini APIs and more — tool-use loops, system-prompt engineering, structured outputs and fallback chains; own the quality and latency of AI answers.
• Agentforce: Create and maintain agents via the Agent API and GenAI metadata (planner bundles, topics, plugins); navigate platform quirks and compile behaviours.
• Channel Engineering: Evolve channel agents — Google Chat app (Cards v2, dialogs, slash commands, service-account OAuth), Cloudflare Worker relays, and future Teams/Slack surfaces.
• Front-End (LWC): Build polished, branded assistant UIs — utility-bar voice assistant, orchestrator console dashboards — with Lightning Web Security-aware patterns.
• AI-Assisted Delivery: Drive Claude Code engineering sessions, review AI-authored code critically, and keep specs and handoff documents current so multiple AI-assisted engineers work concurrently without collisions.
• Integration Plumbing: Named/External Credentials, External Client Apps, OAuth 2.0 flows (client credentials, JWT bearer) and inbound REST webhooks with JWT verification.

Technical Skills & Qualifications:

Required:

• 4+ years of Salesforce platform development: advanced Apex (async patterns, callouts, dynamic SOQL, USER_MODE security), LWC, Metadata API and SFDX-based deployments.
• Hands-on LLM API integration experience (Anthropic, OpenAI or Google Gemini) — tool/function calling, prompt engineering, multi-turn state management.
• Solid JavaScript/TypeScript and Node.js; comfort with serverless edges (Cloudflare Workers or similar).
• Demonstrated fluency working WITH AI coding assistants (Claude Code, Copilot, Cursor) as a force multiplier — you review, verify and direct; you never paste blindly.
• OAuth 2.0 depth: client credentials, JWT bearer, service accounts, token lifecycle.
• Strong written communication — specs, handoffs and decision logs are how this team scales.
• Agile self-starter comfortable with high autonomy and rapid shipping from sandbox to UAT to production.

Nice to have:

• Certifications: Salesforce Platform Developer II • Salesforce AI Specialist / Agentforce Specialist • Salesforce JavaScript Developer I.
• Google Workspace app development (Chat apps, Cards v2, service accounts).
• Voice interfaces: TTS/STT integration (ElevenLabs, Web Speech API).
• React Native (mobile companion app).
• Security frameworks (OWASP SAMM, ISO 27001)