Senior AI/LLM Engineer

Intec Select Ltd; England; On-site; GBP 140,000; Full time

Job summary

A fast-moving commodity trading firm is seeking an AI / LLM Engineer to design and deploy advanced AI-driven solutions. The candidate will be responsible for building and optimising AI solutions in a high-performance financial services environment, focusing on production deployment and collaboration with cross-functional teams. Top applicants will have experience with LLM applications and multi-cloud environments. This role offers a salary up to £140,000 with competitive benefits, based in London five days a week.

Benefits

Competitive benefits package

Qualifications

• Proven experience as an AI Engineer, Machine Learning Engineer, or LLM-focused Engineer.
• Hands-on experience building and deploying LLM-powered applications.
• Strong software engineering skills with a focus on production systems.

Responsibilities

• Design, build, and deploy AI and LLM-based solutions into production environments.
• Integrate AI solutions into existing trading, analytics, and operational platforms.
• Ensure reliability and performance of AI systems in a regulated environment.

Skills

AI Engineer experience

Machine Learning experience

LLM-powered applications

Multi-cloud experience

Financial services background

Software engineering skills

Ability to work in high-pressure environments

Tools

AWS

GCP

Azure

Job description

AI / LLM Engineer

Permanent | Up to £140,000 + benefits
London | 5 days on-site

A fast-moving, rapidly growing commodity trading firm, and a leading market‑maker in energy derivatives, is continuing to scale and is looking for an AI / LLM Engineer to help design and deploy advanced AI‑driven solutions across the business. This role is suited to an engineer who enjoys working close to the business, building production‑grade AI systems, and operating in a high‑performance financial services environment.

Overview

As an AI / LLM Engineer, you will be responsible for building, deploying, and optimising AI and large language model solutions that support trading, risk, operations, and decision‑making workflows. You will work closely with engineers, traders, and senior stakeholders to translate real business problems into scalable AI systems.

This is a hands‑on engineering role, with a strong focus on production deployment, cloud infrastructure, and real‑world model usage rather than pure research.

Role Responsibilities

• Design, build, and deploy AI and LLM‑based solutions into production environments
• Work with large language models, prompt engineering, orchestration, and evaluation
• Integrate AI solutions into existing trading, analytics, and operational platforms
• Build scalable pipelines and services across multi‑cloud environments (AWS, GCP, Azure)
• Collaborate closely with engineering, data, and business teams to deliver real commercial impact
• Develop and integrate intelligent AI agents / agentic workflows that act autonomously to solve key problems across the firm
• Ensure reliability, performance, and security of AI systems in a regulated financial environment
• Continuously improve model performance, cost efficiency, and scalability

Essential Skills & Experience

• Proven experience as an AI Engineer, Machine Learning Engineer, or LLM‑focused Engineer
• Hands‑on experience building and deploying LLM‑powered applications
• Strong multi‑cloud experience across AWS, GCP, and/or Azure
• Background in financial services, ideally within trading, capital markets, commodity trading, or large enterprise banking
• Strong software engineering skills with a focus on production systems
• Comfortable working in fast‑paced, high‑pressure environments
• Ideally looking for practical experience building or deploying intelligent AI agents / agentic systems that automate workflows in production - whether custom‑built or via frameworks like AI‑Gentic and similar platforms

Package

Salary around £140,000, dependent on experience
Competitive benefits package
Onsite (5x week in London)