AI Software Engineer

Spectrum IT Recruitment; England; On-site; GBP 55,000 - 90,000; Full time

Job summary

Spectrum IT Recruitment is seeking an AI Software Engineer to build intelligent products for a sustainable future. You will shape how software is built with AI at the core of both product development and delivery.You will work on cloud applications, APIs and AI capabilities such as RAG and intelligent agents, using Claude Code and Codex to accelerate development, while modernising platforms and shaping architecture with users and domain experts.

Qualifications

• You've delivered production software and have strong skills in one or more of C# / .NET, TypeScript / Angular or Python / Django. You're comfortable building APIs, working with relational databases and integrating business systems.
• You already use AI development tools and have practical experience incorporating generative AI, document intelligence or intelligent automation into working solutions.
• You understand LLM application patterns, including RAG and agent orchestration, and care about evaluating and monitoring what you ship.
• Experience with Azure, PostgreSQL, CI/CD and cloud deployment would be valuable.
• Above all, you're curious, product-minded and able to turn a business problem into reliable software.

Responsibilities

• Build cloud applications, customer portals, APIs and integrations that turn complex data into useful products.
• Develop AI capabilities spanning document intelligence, semantic search, Retrieval-Augmented Generation (RAG) and intelligent agents.
• Use tools such as Claude Code and Codex to accelerate development, applying sound judgement to testing, security and maintainability.
• Replace manual processes with intelligent workflows and help modernise existing platforms.
• Shape architecture, reusable components and engineering practices while working directly with users and domain specialists.

Skills

C# / .NET

TypeScript / Angular

Python / Django

APIs

Relational databases

AI development practices

LLM patterns

Azure

CI/CD

Cloud deployment

Tools

Claude Code

Codex

PostgreSQL

Job description

AI Software Engineer - Build intelligent products for a sustainable future. Shape how software gets built.

Already using AI to push your engineering further? Bring that mindset to a role where AI is central to both the products you build and the way you develop them.

We're recruiting for a sustainability services business investing in its next generation of digital products. They're looking for a talented software engineer who combines strong development skills with practical experience of AI-assisted coding, generative AI and intelligent automation.

What you’ll get involved in

• Build cloud applications, customer portals, APIs and integrations that turn complex data into useful products.
• Develop AI capabilities spanning document intelligence, semantic search, Retrieval-Augmented Generation (RAG) and intelligent agents.
• Use tools such as Claude Code and Codex to accelerate development, applying sound judgement to testing, security and maintainability.
• Replace manual processes with intelligent workflows and help modernise existing platforms.
• Shape architecture, reusable components and engineering practices while working directly with users and domain specialists.

About You

You've delivered production software and have strong skills in one or more of C# / .NET, TypeScript / Angular or Python / Django. You're comfortable building APIs, working with relational databases and integrating business systems.

You already use AI development tools and have practical experience incorporating generative AI, document intelligence or intelligent automation into working solutions. You understand LLM application patterns, including RAG and agent orchestration, and care about evaluating and monitoring what you ship.

Experience with Azure, PostgreSQL, CI/CD and cloud deployment would be valuable.

Above all, you're curious, product-minded and able to turn a business problem into reliable software.

Why this opportunity

You’ll have room to influence technical decisions, establish AI engineering practices and see your work used by customers and colleagues. It's a chance to deepen your AI expertise while building products with measurable operational and sustainability impact.