Bright is creating cutting‑edge software for accounting, payroll, tax, and practice management. We assemble a team of top talent leading the industry with superior software solutions and unmatched customer support.
About the Role
You will join a small, high‑impact squad building AI‑powered features for our products. You will architect and build production‑grade AI solutions that automate end‑to‑end accounting workflows from document processing through statutory filing, delivering real impact to tens of thousands of customers.
Key Responsibilities
* 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.
* 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 deployments.
* 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.
Essential Skills
* 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 JavaScript frameworks, .NET, and React or comparable technologies.
* 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.
* Strong collaboration and communication skills working effectively with technical and product stakeholders.
* Architectural thinking—ability to design scalable systems and make strategic technical decisions.
Desirable Skills
* Experience with multi‑agent AI architectures where multiple specialized models collaborate to solve complex problems.
* Hands‑on experience with vector databases and RAG (Retrieval‑Augmented Generation).
* Python proficiency for AI/ML development and data processing.
* Experience with prompt engineering and LLM optimization.
* Knowledge of MLOps practices and AI observability tools (e.g., Langfuse, LiteLLM).
* Understanding of cost optimization for AI systems in production.
* Experience in B2B SaaS or domain‑specific software (accounting, payroll, professional services).
* Track record of mentoring junior engineers and driving technical standards.
What Makes You a Great Fit
* Great fit learning mindset—excited to learn new frameworks, tools, and practices, especially in AI, and staying current with emerging technologies.
* Systems thinking—understanding how distributed systems work and reasoning about failure modes, performance bottlenecks, and architectural trade‑offs.
* Pragmatic approach—balancing perfect solutions with shipping value quickly and knowing when “good enough” enables faster delivery.
* Commercial awareness—considering cost implications, customer value, and margin creation in technical decisions.
* Collaboration—working well with both technical and product stakeholders and communicating technical concepts clearly to non‑technical audiences.
* Ownership—taking responsibility from conception through development to production, following through on commitments, and driving results.
* Hunter mentality—seeing opportunities, not just problems, with energy, optimism, and a can‑do attitude.
* Technical excellence—deep care for code quality, testing, and building maintainable, reliable systems.
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