Artificial Intelligence Engineer

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