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Senior AI Engineer (AI Systems & LLM Applications)

techyard • United Kingdom
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Owns end-to-end technical delivery of custom AI systems for finance/portfolio companies, including architecture, build, evaluation, and production rollout. Builds production LLM applications (agentic systems, RAG, multimodal workflows) with focus on privacy, security, and performance. Requires 5+ years in software engineering, 2+ years in production LLM development, and hands-on expertise in Python, LLMs, and cloud platforms.

Key Highlights
End-to-end ownership of custom AI systems for finance/portfolio companies
Builds production LLM applications (agentic systems, RAG, multimodal workflows)
Focus on privacy, security, and performance with guardrails for hallucination/prompt injection
Key Responsibilities
Own codebase, engineering plan, and AI system architecture
Build production LLM applications (agentic systems, RAG, multimodal workflows)
Deploy systems on GCP/Azure/AWS with Docker, CI/CD, and observability
Set guardrails for privacy, prompt injection, and hallucination risk
Mentor junior engineers and build reusable tooling
Technical Skills Required
Python Production LLM Applications Cloud Platforms (GCP/Azure/AWS)
Benefits & Perks
Fully in-person London office with flexibility and client travel
Market-rate base salary plus potential performance bonus
Team plans on Claude Code and Codex, plus structured AI learning curriculum
Nice to Have
PE or portfolio-company experience
Deep RAG (Retrieval-Augmented Generation) expertise
Experience with TypeScript, React, Postgres, or LangGraph

Job Description

We’re recruiting on behalf of our client, a specialist AI consultancy that builds custom AI systems for portfolio companies and finance firms that can’t afford to get AI wrong.

The role

You’ll own the technical delivery of these systems end to end, from architecture and build to evaluation and production rollout, reporting directly to the co-founders. Most weeks are heads-down engineering. On the largest engagements, you’ll be embedded with the client for part of the week.

What you’ll do

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