Job Description
Job Description: AI Studio Engineer
Role Overview
This is one of the most impactful hires we will make this year. We are a 300-person experiential
agency building an AI Studio that will fundamentally change how we pitch, produce, and prove
ROI on events. We need a hands-on AI Engineer who is equal parts strategist, builder, and trainer.
This person will not just use AI tools. They will design the systems, build the agents, write the
prompts, select the stack, and train 300 colleagues to work smarter. They are the architect of our
AI capability — and they will ship real, working tools within their first 30 days.
What You Will Own
In your first 60 days:
• Audit the full tool ecosystem and deliver a written recommendation with pricing and
integration plan
• Build and publish Prompt Library v1.0 — 50+ categorised, tested prompts for all
departments
• Deploy 3 quick-win agents (RFP Analyzer Agent, Pitch Deck & Mood Board Generator,
Floorplan Optimizer etc.,) to prove ROI fast
• Establish prompt versioning conventions and a governance framework
In your first 90 days:
• Train all 300+ staff across departments (Account, Creative, Production, Finance, HR)
• Launch 10+ working agents covering Pre-Event, On-Site, Post-Event, and Back Office
workflows
• Integrate AI tools with our existing CRM, project management, and finance systems
• Build a staging and QA environment for testing agents before live deployment
Ongoing (Month 3+):
• Maintain and expand the prompt library — incorporating team feedback into v2.0, v3.0
• Build the advanced on-site AI layer: WhatsApp concierge, lead retrieval, real-time issue
monitoring
• Develop monetisable AI products to sell to clients: AI Insights Package, Footfall Heatmaps,
AI Avatars
• Stay current on the AI landscape — brief the leadership team on new tools monthly
Technical Skills Required
Area-LLMs & Prompt Engineering
What we need- Claude, GPT-4o, Gemini — knows when to use each model. Can write, test, and
version production prompts systematically. Builds few-shot examples and
chain-of-thought frameworks.
Area-Agent Development
What we need- LangChain / LangFlow for multi-step agents. Can break a workflow into
chained prompts. Understands tool use, memory, and retrieval-augmented
generation (RAG).
Area-Workflow Automation
What we need-Make, Zapier (with AI steps), n8n. Can design and deploy automated pipelines
that connect AI outputs to real business tools (CRM, spreadsheets, Slack).
Area-Document AI Nanonets or equivalent.
What we need-Extracts structured data from PDFs, invoices, contracts at scale.
Area-Image / Video / Voice AI
What we need-Midjourney, DALL-E, Stable Diffusion, RunwayML, ElevenLabs, Opus Clip. Production experience — not just hobbyist tinkering.
Area-Integration & APIs
What we need-Can connect AI tools to existing systems via API (Salesforce, HubSpot, Airtable,
Google Workspace, Slack). Comfortable reading API documentation.
Area-Data & Reporting
What we need- Can take raw outputs from AI tools and translate them into clean, client-ready
reports. Basic Python or no-code data tools are a strong plus.
Experience Required
Must Have:
• 2+ years working hands-on with AI/LLM tools in a professional setting (not just personal
projects)
• Demonstrable prompt engineering skills — has an existing prompt library or portfolio
• Has built at least one working AI agent or automated workflow connected to real business
data
• Experience selecting and justifying tools (model selection reasoning, cost-benefit thinking)
• Can communicate technical concepts clearly to non-technical colleagues and clients
• Proven track record of shipping, not just planning
Highly Desirable:
• Experience in events, marketing, creative agencies, or client services industries
• Has trained teams of 20+ on AI tool adoption
• Familiarity with Salesforce, HubSpot, Airtable, Asana, or similar platforms
• Working knowledge of Python (for data wrangling and API calls)
• Has built a chatbot or conversational AI deployed to real users
