Senior Software Engineer – AI Tooling

Senior Software Engineer – AI Tooling Overview

This role is for a senior software engineer focused on AI tooling for Arm’s software teams in Cambridge. The position is aimed at someone who enjoys solving unclear engineering problems, building dependable tools, and helping software engineers use AI safely, effectively, and at scale. The work centers on turning AI prototypes into reliable internal products that improve productivity without reducing quality or engineering discipline.

What you will do

• Design, build, test, and maintain AI- and LLM-based tools that help software engineers work more productively while still protecting quality, safety, and good engineering standards.
• Develop production-grade software across command-line tools, APIs, backend services, user-facing applications, and CI-integrated workflows.
• Use strong architecture, automated testing, documentation, observability, and maintainable code practices to make the tools robust and supportable.
• Connect tooling to engineering data sources such as logs, test results, failure reports, source code, build metadata, and CI outputs so the information produced is traceable and useful for engineering decisions.
• Help design and evaluate LLM-based systems by identifying where they may fail, creating realistic test cases, measuring output quality, and improving prompts, pipelines, and application logic using evidence.
• Work with senior engineers, technical leads, and partner teams to understand how people actually work, clarify requirements, discuss trade-offs, and support adoption of AI tooling.
• Review code, collaborate closely with teammates, and provide practical mentoring on the responsible and effective use of AI-enabled development tools.
• Take ownership of scoped technical problems with limited direction, making thoughtful design decisions and applying strong software engineering practices to AI-enabled products.
• Contribute to Arm’s wider effort to improve engineering efficiency, software quality, and developer productivity as AI-supported working methods expand across engineering teams.

What the team is looking for

• Strong Python software engineering experience, including the ability to design, implement, test, debug, and maintain reliable systems.
• Good engineering judgement, with the ability to weigh trade-offs, create maintainable solutions, work through ambiguity, and choose appropriate development practices instead of only producing fast prototypes.
• Practical experience with LLMs or applied AI/prompt engineering, including awareness of model limitations, hallucination risks, data sensitivity issues, and the need for evaluation and guardrails.
• Clear communication and teamwork skills, including the ability to explain technical choices, review other people’s work, and help engineers use AI tools safely and productively.
• Comfort with ambiguous engineering challenges and the ability to turn them into reliable, well-tested tools.
• Ability to work with partner teams to understand workflows and quality expectations.
• Capability to work with minimal guidance on well-scoped technical tasks while contributing through peer review, advice, and communication with closely related teams.

Helpful additional experience

• Experience improving developer productivity through workflow-integrated tools such as CLI utilities, APIs, backend services, web interfaces, CI integrations, test infrastructure, or engineering automation.
• Experience working with engineering data and signals such as logs, source code, test output, CI results, build metadata, failure reports, or software quality metrics.
• Hands-on DevOps experience with AWS, Kubernetes, CloudBees Jenkins, GitHub, or similar platforms.

Working style and team environment

The role sits within the Fast Models AI Enablement team, where the focus is on exploring and pushing the limits of agentic workflows and finding the best practical ways to use AI in engineering. The team aims to bring effective AI tooling into broader use across Arm’s engineering organization.

Arm describes the environment as collaborative, with leadership centered on enabling others. The company emphasizes openness to new ideas and perspectives, and says it values diversity and psychological safety as foundations for innovation.

The role follows a flexible hybrid pattern. Team members are expected to be in the office at least two days each week for planning, design discussions, and other team activities. Arm also notes that its broader hybrid approach is intended to support both high performance and personal wellbeing, with exact arrangements varying by team and role.

Pay and other details

The salary range for this position is £73,500 to £99,500 per year.

Arm states that no relocation package is available for this role.

For candidates who need Skilled Worker sponsorship, Arm will cover the employer-side sponsorship costs. The candidate is responsible for their own visa application fee and Immigration Health Surcharge.

Benefits and support

• Access to health and wellness support.
• Support for work-life balance and flexible working.
• Competitive financial rewards in addition to salary.
• Opportunities for professional and personal development.
• A supportive community where people can thrive.
• An inclusive workplace committed to mutual respect and equal opportunity.
• Recruitment process accommodations if needed, including support such as breaks between interviews, documents being read aloud, or help with office accessibility.

Equal opportunity and accommodations

Arm says it is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. If you need an adjustment or accommodation during recruitment, you can contact Arm by email to request support, and those requests are handled confidentially.

How to apply

Applications are submitted through Arm’s careers site for the Senior Software Engineer – AI Tooling position in Cambridge. The posting includes an application link and also references Arm’s hiring process and candidate login areas for existing applicants.

Degree Requirement: Not Specified

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