Applied AI Engineer (LLM)

Stealth AI Startup
Full-timeSenior
Visa Sponsorship
£130K - £140K/yr

Tech Stack

LLMMulti-Agent SystemsRAGVector SearchPythonERP Integration

Agent Workflow

Build and deploy autonomous multi-agent LLM systems for supplier discovery, risk monitoring, and cost analysis. Design frameworks for multi-agent collaboration with conflict resolution and self-reflection mechanisms.

About the Role

Seed-stage AI startup backed by leading European and US investors, applying next-generation agentic AI to overhaul mission-critical enterprise workflows that depend on error-prone, manual processes. The founders have delivered cutting-edge AI at world-class research labs and high-growth technology companies.

Key Responsibilities:

  • Develop and implement agentic LLM workflows for enterprise automation
  • Build and deploy autonomous multi-agent LLM systems for supplier discovery, risk monitoring, and cost analysis
  • Lead end-to-end projects: architecture, modeling, coding, DevOps, deployment, customer enablement
  • Design frameworks for multi-agent collaboration with conflict resolution and self-reflection mechanisms
  • Develop benchmarking suites measuring performance, safety, and behavior
  • Create integrations connecting language models to ERP platforms and custom APIs
  • Collaborate with executives and end-users on requirements and prototypes

Requirements:

  • Strong computer science fundamentals
  • Minimum 2 years deploying LLMs to production with evaluation and monitoring
  • Master's degree in AI or Computer Science from top-tier research institution

Nice-to-Have:

  • Multi-agent frameworks experience
  • Retrieval-augmented generation or vector-search expertise
  • Large-scale business domain familiarity (operations, finance, analytics)

Benefits:

  • Base salary: GBP 130,000-140,000
  • Meaningful equity (pre-Series A)
  • Private healthcare, pension scheme
  • Annual off-site retreats
  • Hybrid work (3 days/week in office)
  • Visa sponsorship available for qualified candidates

Interview Process: Screening (30 min) -> Design interview with CTO (45 min) -> In-person half-day (paid)

Posted: July 15, 2025. Valid through July 10, 2026.

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