Artificial Intelligence Engineer at CipherTek Recruitment, London, £700–£1,200 per day

🚀 Building a Senior AI Engineering Team (LLM + Distributed Systems)

Global Investment Bank | Capital Markets Platform

📍 London (1–2 days onsite)

💰 £700–£1,200/day (Outside IR35) Contract to permanent available

📅 12-month contracts

The Mandate

We are building a production-grade AI platform inside a global investment bank.

This is not a research team or a chatbot project.

This is engineering-heavy, focused on integrating LLM systems into large-scale, distributed environments used by trading and quant teams.

We are hiring across multiple levels:

• Lead Engineer (Agentic / RAG focus)
• Architect (end-to-end platform design- Agentic / RAG focus)
• Senior Engineers (x3) Agentic / RAG focus
• Potential Director-level hire to oversee the function

What This Role Requires (Read Before Applying)

You must have:

• Experience building distributed systems at scale
• Strong background in backend or data engineering
• Proven experience working on production systems with real users
• Hands-on experience with LLMs in production (RAG, embeddings, etc.)

If your experience is limited to courses, side projects, or chatbot builds, this role is not a fit.

What You’ll Be Working On

• LLM-powered systems integrated into enterprise-grade platforms
• RAG pipelines over large internal datasets (structured + unstructured)
• High-throughput, low-latency services
• Multi-step workflows combining LLMs, data pipelines, and external tools
• Systems requiring reliability, observability, and auditability

Core Technical Requirements

• Strong Python (Java/Scala also relevant)
• Experience with distributed systems, APIs, microservices
• Data engineering experience (Spark, Databricks, ETL pipelines)
• Familiarity with event-driven systems (Kafka or similar)
• LLM experience:
• RAG
• embeddings
• vector search / semantic retrieval
• LLM APIs (OpenAI, Anthropic, etc.)

Strong Preference

• Experience working in high-scale environments (tech, fintech, data platforms)
• Exposure to regulated or high-control systems
• Experience designing or owning end-to-end systems

What This Role Is NOT

• Not a prompt engineering role
• Not a research position
• Not suitable for candidates without large-scale system experience

Why This Role

• Build real AI systems in production, not demos
• Join early in a high-impact, well-funded build
• Strong day rates, outside IR35
• Work alongside senior engineers and platform teams

Apply

If you’ve built systems that operate at scale and have deployed LLM solutions into production, we want to hear from you.