Software Engineer; AI & Machine Learning Focus

Software Engineer (AI & Machine Learning Focus)

Drive E-commerce Innovation:
Use AI to Simplify Print for Hundreds of Thousands of Customers.

Location: Manvers, Rotherham
Type: Full-time Monday to Friday 9am - 5.30pm with flexible working options.
Salary: £40,000-£60,000 depending on experience

We’re a leading e-commerce print company operating two distinct online brands, route1print and instantprint. Our core mission is simple: to make print buying as easy as possible for small businesses. We are looking for a talented Software Engineer to leverage cutting‑edge technology to drive this mission forward.

From automating complex artwork manipulation and streamlining responses to customer queries to identifying proactive opportunities to improve the end‑to‑end user experience, you will play a crucial role in using AI to enhance the online customer journey,

If you have a passion for leveraging advanced technologies to enhance and develop innovative solutions that improve our websites and optimise results across our entire organisation, this is an excellent opportunity to make a tangible impact.

We’re looking for a Software Engineer who lives and breathes Artificial Intelligence — someone who’s excited by the rapid evolution of models, prompt engineering, and intelligent systems. You’ll work on cutting‑edge projects involving AI model integration, fine‑tuning, and deployment, helping shape how humans and machines collaborate.

This role is perfect for a builder who’s not afraid to experiment, iterate, and stay ahead of the curve in an AI‑driven world.

• Design, build, and refine AI‑driven applications, APIs, and tools.
• Develop and optimise prompts, data pipelines, and workflows for large language models (LLMs).
• Develop and integrate a wide range of AI and machine learning models beyond LLMs, including computer vision and multimodal systems.
• Collaborate with product and research teams to fine‑tune models and deliver solutions tailored to specific use cases.
• Implement scalable, reliable solutions using modern engineering practices, including automated testing, CI/CD, and effective version‑control workflows.
• Utilise AWS services for deployment management, and maintenance to ensure performance, security, and high availability.
• Build responsive, user‑friendly front‑end interfaces using modern frameworks.
• Participate in team‑wide development processes, including code reviews, knowledge‑sharing sessions, and technical discussions.
• Work closely with stakeholders and end users to deliver high‑quality, feature‑rich systems that automate processes and accelerate teams across the organisation.
• Create and maintain AI‑powered internal tools that support engineering teams, such as workflow automation, intelligent assistants, and computer‑use agents that improve productivity.
• Stay current with emerging AI/ML frameworks, LLM research, and best practices in AI safety and responsible development.

AI & Machine Learning

• Practical experience with AI/ML tools, frameworks, or model development.
• Understanding of prompt engineering, model tuning, and evaluation techniques.
• Familiarity with LLM orchestration and agent frameworks such as Lang Chain, Strands, AWS Agent Core (Agents for Bedrock), Llama Index, or similar.
• Experience working with AI provider APIs (e.g., OpenAI, Anthropic, Google, AWS) and integrating them into production systems.
• Interest or experience in agent‑first development environments such as Google Antigravity, Claude Code, or other AI‑powered IDEs that enhance software engineering workflows.
• Passionate about exploring new frontiers in AI - you experiment, iterate, and continuously learn.

Software Engineering

• Experience working in a modern software development environment with strong object‑oriented programming fundamentals.
• Proficiency in at least one modern programming language (e.g., C#, Python, Java, Go, or similar).
• Experience with SQL databases (e.g., MSSQL, MySQL)
• Comfortable with version control systems like Git and collaborative development practices.

Cloud & Deployment

• Experience with cloud platforms such as AWS or Azure for deployment, scaling, and operational management.

• Opportun…