Generative AI Engineer

Albert Bow; Guildford; On-site; GBP 65,000 - 70,000; Full time

Job summary

Agentic AI in Guildford, UK is hiring a Senior AI Engineer to take AI ideas through production, building agentic systems and AI automation that real users rely on. You will contribute to RAG architectures, vector search and enterprise knowledge assistants while mentoring junior engineers.

The role emphasizes production deployment, observability, and end-to-end AI lifecycles from experimentation to monitoring, with Azure cloud experience valued. A collaborative, product-focused environment awaits.

Qualifications

• Commercial experience as an AI Engineer, Machine Learning Engineer or Data/AI Engineer.
• Experience building production AI solutions.
• Hands-on experience with Agentic AI, LLMs and Generative AI.
• Experience with RAG, vector databases and retrieval systems.
• Strong SQL and Data Engineering foundations.
• Experience deploying AI systems into production environments.
• Cloud experience (Azure preferred).
• Ability to mentor and support less experienced engineers.
• Passion for AI and continuous learning.

Responsibilities

• Design, build and deploy production-grade AI applications using LLMs and modern AI architectures
• Build agentic workflows and AI automation solutions
• Develop RAG systems, vector search solutions and enterprise knowledge assistants
• Design and optimise data pipelines using Databricks, Python and SQL
• Work across the full AI lifecycle from experimentation through deployment and monitoring
• Establish best practices around evaluation, observability and AI quality
• Collaborate with engineering, product and business stakeholders to solve complex problems using AI
• Mentor junior engineers and contribute to the growth of the wider AI function
• Help move AI initiatives beyond proof-of-concept into business-critical production systems

Skills

AI Engineer

Machine Learning Engineer

Data/AI Engineer

Production AI

Agentic AI

LLMs

Generative AI

RAG

Vector databases

Retrieval systems

SQL

Data Engineering

Production deployment

Azure

Mentoring

Continuous learning

Tools

Databricks

Python

SQL

Job description

Senior AI Engineer | Guildford, UK | Agentic AI, RAG & LLM Applications | £65,000-£70,000

A fast-growing technology-led business is looking for a Senior AI Engineer to join their expanding AI and Data function.

Over the last few years, the business has rebuilt its entire technology platform, invested heavily in data and AI capabilities, and is now focused on building production-ready AI solutions that create real business impact.

This is not a research role.

They're looking for someone who enjoys taking AI solutions from idea through to production and wants to work on agentic systems, AI automation, LLM applications, RAG architectures and intelligent workflows used by real users every day.

You'll join a growing AI team and help shape the next generation of AI products while mentoring more junior engineers and contributing to technical direction.

Responsibilities

• Design, build and deploy production-grade AI applications using LLMs and modern AI architectures
• Build agentic workflows and AI automation solutions
• Develop RAG systems, vector search solutions and enterprise knowledge assistants
• Design and optimise data pipelines using Databricks, Python and SQL
• Work across the full AI lifecycle from experimentation through deployment and monitoring
• Establish best practices around evaluation, observability and AI quality
• Collaborate with engineering, product and business stakeholders to solve complex problems using AI
• Mentor junior engineers and contribute to the growth of the wider AI function
• Help move AI initiatives beyond proof-of-concept into business-critical production systems

Skills & Experience

• Commercial experience as an AI Engineer, Machine Learning Engineer or Data/AI Engineer
• Experience building production AI solutions
• Hands-on experience with Agentic AI, LLMs and Generative AI
• Experience with RAG, vector databases and retrieval systems
• Strong SQL and Data Engineering foundations
• Experience deploying AI systems into production environments
• Cloud experience (Azure preferred)
• Ability to mentor and support less experienced engineers
• Passion for AI and continuous learning

This is a great opportunity for someone who enjoys building AI products that people actually use, working closely with a team, and helping shape AI strategy within a business that is investing heavily in the space.