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Senior Applied AI Engineer (Agentic Systems)

retelligence • United Kingdom
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Lead the development and scaling of production-grade AI agents for a fast-growing AI-first scale-up. Responsible for building evaluation layers, optimizing reliability, and designing shared agent tooling. Requires 4+ years of backend engineering experience and a proven track record of shipping AI agents to production.

Key Highlights
Build and scale AI agents that run core business operations in production
Own the full lifecycle of reliability, latency, cost, and monitoring
Set engineering patterns within a small, high-impact squad environment
Key Responsibilities
Integrate AI agent flows and build the evaluation layer to scale the system.
Determine the optimal balance between LLM usage, plain code, and human intervention.
Manage reliability, latency, cost, monitoring, and failure handling for AI systems.
Develop shared agent tooling for use across the engineering team.
Technical Skills Required
TypeScript Python Postgres
Benefits & Perks
€100K–€150K base salary
Equity options
Fully remote work
Visa sponsorship transfer for London-based candidates
Nice to Have
Computer Science or related degree
Personal AI projects built outside of work

Job Description

Applied AI Engineer – Agentic Systems | Remote (UK/Europe) | €100K–€150K + equity

You might call yourself an Applied AI Engineer, a Forward Deployed Engineer, a Product Engineer, or a backend engineer who ended up owning the LLM work. The title doesn’t matter. What matters is that you’ve built agents that real users or real business processes rely on, and you’ve done the hard work of making them reliable.

The company

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