Software Engineer

Principle HR; United Kingdom; Remote; GBP 103.000 - 125.000; Vollzeit

Benefits dieser Stelle

25 days annual leave

Weekly pay

Pension scheme

Zusammenfassung

Principle HR is hiring a Software Engineer- Applied AI for the UK, remote position. This hands-on role turns ambiguous problems into reliable, production-grade tools used by teams across the business.

You will join an applied AI data and tooling group building evaluation infrastructure and supporting AI features such as text summarisation and agentic editing. You will own multiple workstreams with strong production practices.

Qualifikationen

• 6+ years building production software as an engineer
• Proven track record owning products from problem to launch
• Strong skills in Python, TypeScript/JavaScript, Java, C++
• Experience building or integrating APIs, backend services, data pipelines or full-stack products
• Strong product judgment and clear communication

Aufgaben

• Partner with users to understand problems before choosing a solution
• Design, build, test, launch and operate end-to-end internal products and data workflows
• Turn prototypes into reliable self-service tools
• Build evaluation loops for AI-powered and agentic workflows
• Apply production practices: testing, observability, actionable errors and safe failure handling
• Review outputs with AI tools like Claude Code and Codex
• Measure adoption, time saved and reduction in manual work
• Manage multiple workstreams with clear tradeoffs based on impact and complexity

Kenntnisse

Python

TypeScript/JavaScript

Java

C++

APIs

Data pipelines

Full-stack

Ausbildung

CS degree or equivalent

Tools

Claude Code

Codex

Jobbeschreibung

• Contract length: 6 months


• Salary: £114,000 per annum


• Location: Remote within United Kingdom

Principle HR is partnering with one of the world's largest technology companies to hire a Software Engineer- Applied AI into its global Product Content Engineering team. This is a hands-on AI product engineering role for someone who loves taking ambiguous problems and turning them into reliable, production-grade tools that people actually use.

The team

You will join an applied AI data and tooling group with two sides to its work. Upstream, you will help run the evaluation infrastructure used by engineers building frontier AI models. Downstream, you will support product teams shipping AI features such as text summarisation and agentic editing. The mission is to give every team member the output of a dedicated engineer, data scientist and designer by building agentic workflows and automating work that is currently done manually.

What you will do

• Partner with technical and non-technical users, including annotators, to understand the problem before choosing a solution


• Design, build, test, launch and operate end-to-end internal products, integrations and data workflows


• Turn prototypes and one-off scripts into reliable, reusable self-service tools


• Build evaluation and feedback loops for AI-powered and agentic workflows


• Apply strong production practices: automated testing, observability, actionable errors and safe failure handling


• Work as an AI-native engineer, using tools like Claude Code and Codex day to day while reviewing and validating everything they produce


• Measure adoption, quality, time saved and reduction in manual work


• Own several workstreams at once and make clear trade-offs based on impact and complexity

What you will bring

• 6+ years building production software as a software, product, ML or AI engineer


• A track record of independently owning products from an ambiguous problem through to launch and iteration


• Strong skills in Python, TypeScript/JavaScript, Java, C++ or similar


• Experience building or integrating APIs, backend services, data pipelines or full-stack products, including debugging complex integrations


• Strong product judgment


• Clear communication with both engineers and non-technical stakeholders


• A degree in Computer Science or a related field, or equivalent practical experience

Nice to have

• Experience building LLM-powered products, AI evaluation systems or agentic workflows


• Experience building internal tools, developer platforms or self-service capabilities


• Experience applying responsible AI practices such as quality, accuracy and bias reviews

Please note this is a hands-on engineering role. It is not a research, prompt-writing, labelling or people-management position.

What you can expect

• 25 days annual leave plus company days and 9 public holidays


• Weekly pay


• Pension scheme

You will be employed by Principle HR and assigned to our client, with full support from a dedicated consultant throughout your contract. Candidates must be based in the UK for the duration of the contract.