Are you excited by the opportunity to help software engineers use AI safely, effectively, and at scale? Do you enjoy turning ambiguous engineering problems into reliable, well-tested tools that improve productivity without compromising quality? If so, we want to hear from you!
Job Overview:
We are seeking a Senior Software Engineer – AI Tooling to help develop, improve, and maintain LLM-based engineering tools for Arm software teams.
The ideal candidate will combine strong software engineering judgement with practical experience applying AI or LLMs to real engineering workflows. You will build well-tested CLI, API, backend, and UI-based applications that integrate with CI systems, support local developer workflows, and help engineers use AI productively, safely, and consistently.
This role requires someone who can reason through ambiguous engineering problems, make sound design decisions, and apply good software development practices to AI-enabled tooling. They will work with minimal guidance on scoped technical problems, collaborate with partner teams to understand workflows and quality expectations, and help turn AI prototypes into reliable internal software products.
The role contributes to Arm’s strategy by improving engineering efficiency, software quality, and developer productivity as Arm scales AI-enabled ways of working across engineering teams. Success is in delivering increasingly complex work, peer reviewing, advising others, and communicating clearly with immediate and closely related teams.
Responsibilities:
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Design, develop, test, and maintain AI/LLM-based engineering tools that help software engineers work more productively while preserving quality, safety, and good engineering practice.
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Build production-quality software across CLI, API, backend, UI, and CI-integrated workflows, using clear architecture, automated testing, documentation, observability, and maintainable code.
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Integrate tools with engineering data sources such as logs, test output, failure reports, source code, build metadata, and CI results, ensuring outputs are useful, traceable, and appropriate for engineering decision-making.
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Contribute to the design and evaluation of LLM-based systems, including identifying failure modes, preparing representative test cases, measuring output quality, and improving prompts, pipelines, and application logic based on evidence.
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Work with senior engineers, technical leads, and partner teams to understand real workflows, clarify requirements, communicate trade-offs, and support effective adoption of AI tooling.
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Support peers through code review, collaboration, and practical mentorship on how AI-enabled tools should be used responsibly and effectively in software development.
Required Skills and Experience :
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Strong Python software engineering experience, with the ability to design, build, test, debug, and maintain reliable software systems.
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Good engineering judgement: able to reason through trade-offs, structure maintainable solutions, handle ambiguity, and apply appropriate software development practices rather than just producing quick prototypes.
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Practical understanding of LLMs or applied AI/prompt engineering, including their limitations, quality risks, hallucination failure modes, data sensitivity considerations, and the need for evaluation and guardrails.
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Clear communication and teamwork skills, with the ability to explain technical decisions, review others’ work, and help software engineers use AI tools productively and safely.
“Nice To Have” Skills and Experience :
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Experience improving developer productivity via workflow-integrated tools, such as CLI tools, APIs, backend services, web UIs, CI integrations, test infrastructure, or engineering automation.
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Experience working with engineering data and workflows, such as logs, source code, test output, CI results, build metadata, failure reports, or software quality signals.
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Hands-on DevOps experience with AWS, Kubernetes, Cloudbees Jenkins, GitHub, or similar platforms.
In Return:
When joining our team, you are joining a collaborative environment where leadership is about empowering others. We embrace new and different ideas and perspectives, because we believe the best innovation only happens in a diverse and psychologically safe environment.
We in the Fast Models AI Enablement team are going to push the limits of Agentic workflows. It's our job to find the best ways of working, implement them, and bring them to the team in this rapidly changing space. We are going to break new ground to enable our larger team to be as effective as possible with AI Tooling.
We support flexible working and ask our teammates to come into the office at least two days per week for planning, design discussions, and other team activities.
Please note that no relocation package is available for this role.
If skilled worker sponsorship is required, Arm will meet costs associated with sponsorship for the employer only. All fees associated with the individual’s application e.g. visa application fee and Immigration Health Surcharge, will be the responsibility of the successful candidate.
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Accommodations at Arm
At Arm, we want to build extraordinary teams. If you need an adjustment or an accommodation during the recruitment process, please email [email protected]. To note, by sending us the requested information, you consent to its use by Arm to arrange for appropriate accommodations. All accommodation or adjustment requests will be treated with confidentiality, and information concerning these requests will only be disclosed as necessary to provide the accommodation. Although this is not an exhaustive list, examples of support include breaks between interviews, having documents read aloud, or office accessibility. Please email us about anything we can do to accommodate you during the recruitment process.
Hybrid Working at Arm
Arm’s approach to hybrid working is designed to create a working environment that supports both high performance and personal wellbeing. We believe in bringing people together face to face to enable us to work at pace, whilst recognizing the value of flexibility. Within that framework, we empower groups/teams to determine their own hybrid working patterns, depending on the work and the team’s needs. Details of what this means for each role will be shared upon application. In some cases, the flexibility we can offer is limited by local legal, regulatory, tax, or other considerations, and where this is the case, we will collaborate with you to find the best solution. Please talk to us to find out more about what this could look like for you.
Equal Opportunities at Arm
Arm is an equal opportunity employer, committed to providing an environment of mutual respect where equal opportunities are available to all applicants and colleagues. We are a diverse organization of dedicated and innovative individuals, and don’t discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Salary Range:
£73,500
per year
