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- Applied AI Engineer (LLM)
Applied AI Engineer (LLM)
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Tech Stack
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.