About the job

Job Role: Senior AI Engineer

Location: London, UK – Hybrid -2-3 Days

Job Type: Fixed Term Employment (1 Year)

Job details:

• Senior agentic ai engineers who have put at least one agentic ai solution into production.
• We use the Lang Chain, Lang Graph 1.2.x and Deep Agents stack with Azure AI Foundry.
• They should have a solid engineering foundation (TDD, solid principles, design patterns etc) and be proficient using coding agents like Claude Code.

Additional Skillset

• Good in Agentic ai / Lang Chain/Lang Graph and Deep agents is a must for this role + ability to coding agents like Claude Code.
• Well versed in React and Python.
• Private Equity domain knowledge is an added advantage
• Good in communication
• Since these are onsite senior roles, the candidate must be independent.

Requirements added by the job posterAbout the job

AI Engineer

Location: London ( 3 days on site)

Salary - £75,000 to £90,000 dependent on exepriance

(Sponsorship is not provided)

The Opportunity

Our client is investing heavily in artificial intelligence and data-driven technologies to transform the way teams work and deliver value to clients. As part of this continued investment, they are looking to hire an AI Engineer to join a growing technology function focused on building innovative AI solutions that enhance productivity, automate workflows, and support business decision-making.

This is an exciting opportunity for someone with hands-on experience designing and deploying AI applications, particularly those leveraging large language models (LLMs). You'll play a key role in taking AI solutions from concept through to production, working across the full development lifecycle to build scalable, user-focused applications.

The ideal candidate will enjoy solving complex technical challenges, experimenting with emerging AI technologies, and delivering high-quality software that has a measurable business impact.

The Role

Key responsibilities include:

• Develop, maintain, and enhance existing AI applications and services.
• Design, build, deploy, and support new AI-powered solutions that can scale across multiple business functions.
• Work closely with stakeholders to understand business challenges and translate them into practical AI solutions.
• Prototype, test, and iterate applications based on user feedback and performance data.
• Analyse structured and unstructured datasets using statistical techniques and machine learning methodologies.
• Evaluate emerging AI technologies and identify opportunities to improve products and internal capabilities.
• Contribute to best practices across software engineering, AI development, and deployment.

About You

We're looking for someone with a strong engineering mindset who combines technical expertise with curiosity and a passion for applying AI to real-world business problems.

You'll ideally have:

• Commercial experience developing applications using Large Language Models (LLMs) and modern Generative AI technologies.
• Experience evaluating, fine-tuning, and optimising foundation models for business use cases.
• Strong Python development skills with experience writing clean, scalable, production-quality code.
• Experience building front-end applications using JavaScript, React, HTML, and CSS.
• A solid understanding of machine learning principles, statistics, and data analysis.
• Experience designing AI solutions from concept through to deployment.
• Strong communication skills with the ability to explain technical concepts to both technical and non-technical stakeholders.
• A collaborative approach with the ability to work independently in a fast-paced, agile environment.
• A degree in Computer Science, Mathematics, Engineering, Data Science, or a related quantitative discipline, or equivalent commercial experience.

Desirable Experience

• Experience building cloud-native AI applications, ideally within Microsoft Azure.
• Knowledge of DevOps practices, including CI/CD pipelines, Git, and automated deployments.
• Understanding of secure software development principles.
• Experience working within consulting, professional services, or other client-facing environments.
• Exposure to MLOps frameworks and AI governance would be beneficial.

What's on Offer

• Opportunity to work on cutting-edge AI and Generative AI initiatives.
• Exposure to enterprise-scale AI projects with real business impact.
• Collaborative and highly technical engineering environment.
• Ongoing investment in learning, innovation, and career development.
• Hybrid working and a competitive salary and benefits package.
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