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LEC AI

AI Growth Engineer-AI Marketing Systems

London
Posted 1 day ago
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The Role

LEC AI is building an AI-powered marketing operating system for LEC group's four brands (AI, robotics, beverages, UK-China trade), and productising it. You'll own it end-to-end: persona layers, digital humans, signal-triggered outbound, data indices, and the agent army. This is a builder role in live production, not an R&D lab.

What You'll Build

Content & Persona Systems

  • Brand-Brain Content Engine: RAG + knowledge-graph (pgvector, Neo4j) on a 4-layer memory stack, drafting on-brand content from real meeting transcripts across 4 brands, with per-brand compliance gates
  • AI Persona Layer: per-employee personas grounded in voice-ID'd meeting data: in-voice drafting to avatar video to conversational agents; Mandarin dubbing/localisation (one video, five languages)
  • Self-Hosted Digital-Human Pipeline: MuseTalk/LivePortrait/HeyGem-class OSS on RTX 4090-class GPUs; cloned TTS; RTMP streaming; sub-3s latency; AI livestream host for lead-gen and commerce
  • Compliant Variation Engine: one story, platform-native cuts per persona/brand, all disclosed and watermarked
  • Meeting→Publish Pipeline: WhisperX to diarization to clip to caption to multi-platform scheduling, fully automated

Growth & Revenue Systems

  • Signal-Triggered Growth Engine: Companies House, premises-licence, and venue-signal watchers firing persona-led outreach across our 16,681-venue LeadGen DB (Clay + n8n)
  • Proprietary Data Index Engine: quarterly indices from our operational data (on-trade, robotics deployment, UK-China trade), built for journalist and AI-engine citation
  • AI Fame Engine: newsjacking, journalist pitching, and SoS/Featured/Qwoted response automation on Donnie's insight memory
  • WhatsApp Trade-Ordering Agent: venue reorders via WhatsApp Business Platform (Twilio/360dialog)
  • AI Phone Agents: Vapi-class voice agents with UK data residency, consent-gated
  • Creative-Testing Factory: brand-brain generates 50-100 ad variants, auto-launches on Meta Advantage+/TikTok Smart+, auto-kills losers, winners feed back
  • Synthetic Focus-Group Layer: pre-publish testing on AI personas built from first-party audience data
  • Agent-Ready Commerce: MCP/ACP endpoints, structured feeds, llms.txt/ai-catalog, schema for agentic discovery and buying

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

Start with a chat, not a search bar

Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

P

Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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It searches the market for you

Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.

Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Strong

Only hits

No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.

The Agent Army

  • ~40 agents spanning content, distribution, fame, revenue, analytics, commerce, and ops (LangGraph/CrewAI, self-hosted n8n as glue), including a Launch-Orchestrator ("product goes out, everything fires"), attribution tracking, consent/rights tracking, and brand-compliance checks (ASA/CAP/Portman, EU AI Act labelling).

Must-Have

  • 3+ years shipping production AI/LLM systems: RAG, embeddings, vector DBs, agent frameworks (LangGraph, CrewAI, or equivalent)
  • Hands-on with the 2026 gen stack: video-gen APIs (Veo/Kling/Seedance-class), voice cloning, avatar/lip-sync models
  • Self-hosting: Docker Compose, GPU inference, OSS model deployment (comfortable running Chinese OSS models locally)
  • Automation at scale: n8n, API integration across Meta, TikTok, LinkedIn, WhatsApp Business Platform, HubSpot, Companies House
  • Startup builder: shipped scrappy systems solo or in a tiny team

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Strong Plus

  • Growth engineering: outbound infra, enrichment (Clay), deliverability, creative-testing loops
  • GEO/AI-search: how ChatGPT/Perplexity/AI Overviews cite and rank sources
  • UK compliance surface: GDPR biometric consent, PECR Reg 19, ASA/CAP; you build the gates
  • Mandarin or China-tech ecosystem familiarity (Douyin/WeChat/Xiaohongshu, ByteDance tooling)
  • Newsletter/community infra (beehiiv APIs), data-pipeline/BI experience for the Index Engine

How We Work

  • Join LEC AI's 6-engineer team, the team that built Donnie, our self-hosted AI Chief of Staff (4-layer memory, audio pipeline, MCP-connected)
  • Ship weekly; every build has a kill/scale threshold
  • Built to be productised for 10-100 person companies; you're building product, not rewriting internal tooling
Trusted by 25,000+ job seekers

“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”

Jessica, London

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Skills

AI
LLM Systems
RAG
Embeddings
Vector DBs
Agent Frameworks
Video-Gen APIs
Voice Cloning
Avatar Models
Self-Hosting
Automation
API Integration
Growth Engineering
UK Compliance
Mandarin
Data Pipeline

Location

London, England, United Kingdom

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