Senior AI Software Engineer in Long Ditton

Job Description\n

Senior AI Software Engineer

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We're partnering with a well-established technology business undergoing a significant transformation in how software is built, tested, and deployed through AI-enabled engineering practices.

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This is an opportunity for a highly experienced engineer to play a key role in shaping the future of software delivery within a large-scale, enterprise environment. You will combine deep software engineering expertise with practical AI experience, helping drive faster, safer, and more intelligent development processes across a complex technology estate.

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The Role

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As a Principal AI Software Engineer, you'll work closely with product, engineering, and leadership teams to design and evolve AI-enabled development capabilities. You'll have ownership of technical architecture decisions, help implement AI-driven engineering workflows, and ensure high standards of quality, reliability, and governance are maintained.

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This is a hands-on role for someone who enjoys building, solving complex technical problems, and driving engineering excellence at scale.

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What You'll Be Doing

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• Leading the design and implementation of AI-enabled software engineering solutions.

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• Defining technical architecture and engineering standards across multiple teams.

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• Supporting the adoption of AI-assisted development practices and tooling.

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• Reviewing, governing, and improving AI-generated code and outputs.

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• Building scalable, resilient systems used by large numbers of users.

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• Driving best practices across testing, observability, CI/CD, deployment, and platform reliability.

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• Partnering with product leaders and engineers to solve complex business and technical challenges.

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• Helping accelerate the organisation's journey toward more frequent, automated, and reliable software releases.

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What We're Looking For

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• Extensive experience in software engineering within complex, enterprise-scale environments.

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• Strong hands-on coding ability and a passion for technical problem-solving.

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• Practical experience applying AI technologies within software development and engineering workflows.

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• Ability to design technical architectures and make sound engineering decisions.

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• Experience working across multiple programming and technology stacks.

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• Strong understanding of modern engineering practices including CI/CD, automated testing, observability, and cloud platforms.

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• Excellent communication skills and the ability to explain technical concepts to both technical and non-technical audiences.

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• A collaborative approach and experience working within cross-functional teams.

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Technology Environment

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Experience with some of the following would be beneficial:

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• AWS

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• Go

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• Java

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• TypeScript

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• Modern AI/LLM tooling and frameworks

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• AI-assisted development workflows

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• Enterprise-scale cloud platforms

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