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Senior Software Engineer - AI Team
Bright Software GroupUnited Statesfull_timeVerifiedPosted 31 Oct 2025
About the role
Senior Software Engineer - AI Team
Department: AI
Employment Type: Full Time
Location: Warwick
Description
Who are we?At Bright, we've engineered cutting-edge software for accounting, payroll, tax, and practice management. We've assembled a team of top talent and stand ready to lead the industry with our superior software solutions and unparalleled customer support.
We're brilliant people creating brilliant software! Join us in our mission to create brilliant software that empowers businesses to reach new heights.
Our Products:
Our award-winning software helps small businesses and accountants across Ireland and the UK manage their payroll, accounts and HR practices. We take the headache out of business management and provide cost effective, real solutions to accountants and business owners.
The Role:
As a Senior Software Engineer at Bright, you'll join a small, high-impact team building AI-powered features for our products. We're not building chatbots. We're building systems that automate end-to-end accounting workflows from document processing through to statutory filing to make a real impact on tens of thousands of our customers. Working in a self-contained squad with the autonomy to make commercial and technical decisions without being weighed down by bureaucracy, you'll be responsible for architecting and building production-grade AI solutions that solve real problems for our users. As a senior member of the team, you'll set technical direction, mentor others, and drive quality across the full stack.
Key Responsibilities
Technical Leadership & Delivery- Architect and implement scalable, production-ready AI-powered applications from front-end to back-end
- Design and build performant, secure back-end services that integrate with our AI platform
- Create user-friendly front-end interfaces for AI features using modern JavaScript frameworks or C# and Blazor
- Lead technical decision-making within your squad, balancing innovation with pragmatic delivery
- Drive best practices in code quality, testing, security, and observability
- Collaborate closely with the AI platform team to design and deliver compelling AI-first features and products
- Integrate AI capabilities seamlessly into existing Bright products, ensuring smooth user experiences
- Build responsive, intuitive UI components that make complex AI functionality accessible to end users
- Optimize AI service performance, cost, and reliability in production environments
- Write clean, maintainable, well-tested code with comprehensive documentation
- Configure and maintain CI/CD pipelines with automated testing and deployment
- Identify opportunities for process improvements and contribute to enhancement of development practices, testability, tools, code health and maintainability across the engineering community
- Foster a collaborative environment by working closely within cross-functional teams to ensure high-quality software delivery
- Provide technical guidance and mentorship to other engineers
- Contribute to architectural decisions and technical strategy
- Help shape team culture and engineering standards
Skills, Knowledge and Expertise
- Full stack software engineering experience building production applications for the web.
- Proven production experience building software powered by LLMs/GenAI/ML models - not demos or prototypes, but real systems serving users
- Strong full-stack capability with expertise in:
- Modern JavaScript frameworks (React, Vue, Angular, etc.) or Blazor for front-end development
- C# .NET for back-end services
- RESTful API design and implementation
- HTML5, CSS3, and responsive design principles
- Cloud platform experience with Azure, AWS, or GCP
- Production systems mindset including observability, testing, security, and reliability
- Agile delivery experience in fast-paced, iterative environments
- Strong collaboration and communication skills working effectively with technical and product stakeholders
- Architectural thinking - ability to design scalable systems and make strategic technical decisions
- Experience with m
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