AI Team Lead

Who are we??

At Bright, weve 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.?

The Opportunity

As an AISoftware Engineering Team Leadat Bright, you will play a pivotal role in leading our newly formed AI team. You will coach and mentor this team of team of skilled engineers while contributing to the development of high-quality, scalable products and services. This role involves overseeing the technical direction of projects, ensuring best practices are followed, and fostering a culture of continuous improvement. It is a player manager role, where you will have to balance your own individual technical contribution with the leadership duties on a small team.

You will work closely with our AI Product Strategist and Engineering to design, develop, and deploy AI-driven solutions that address complex business challenges. This role will provide you with the opportunity to influence the AI strategy of the company and work on high-impact projects that will have direct impact on our customers and products.

Key Responsibilities

• Lead and mentor a small team of engineers, providing guidance on technical challenges and fostering professional growth within the team.
• Design, develop, and implement AI-driven features such as recommendation engines, generative AI (including RAGs), and predictive analytics tools that enhance our product offerings.
• Partner with product teams to translate business requirements into technical specifications, develop MVPs, and help integrate AI features into existing products. Assist product teams in maintaining and scaling AI features.
• Serve as an AI advisor to product and engineering teams, providing guidance on best practices for implementing AI features, data pipelines, and machine learning algorithms.
• Deploy, monitor, and optimise AI models and solutions in production, ensuring they perform at scale and meet product requirements. Implement continuous improvement strategies for AI models based on user feedback and data.
• Work with large datasets to extract meaningful insights, develop models for predictive analysis, and help the company leverage data to drive decision-making.
• Quickly prototype and iterate on AI solutions, conducting experiments to validate hypotheses and explore new AI technologies that can be integrated into our products.
• Create and maintain comprehensive documentation for AI models, processes, and systems. Share knowledge and mentor other team members on AI and machine learning techniques.
• Be responsible for the teams delivery of new products, services, features and maintenance work, updating stakeholders of progress and ensuring project governance.
• Collaborate within the product manager, engineers, QAs and other stakeholders to translate business requirements into technical solutions.
• Lead the troubleshooting and resolution of complex technical issues.
• Stay updated with the latest industry trends, technologies and best practices in software engineering.
• Identify opportunities for improve development practices, tools, code health and maintainability in collaboration with the wider engineering community.
• Foster a culture of continuous improvement and create a collaborative environment within the team to ensure high-quality software delivery.

Requirements:

• Bachelors or Masters degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
• Hands-on experience in AI/ML development, with a proven track record of deploying AI models into scalable production environments.
• Proficiency in programming languages such as Python, C#, JavaScript etc. and experience with machine learning frameworks such as PyTorch or TensorFlow.
• Knowledge of NLP, computer vision, deep learning, and generative AI models.
• Familiarity with cloud platforms (e.g., AWS, GCP, Azure) and containerization technologies (e.g., Docker, Kubernetes).
• Strong problem-solving skills with the ability to analyse complex data sets, identify patterns, and build models that can generalize across various use cases.
• Ability to work effectively in a cross-functional team environment, demonstrating a proactive and collaborative approach.
• Passion for staying current with the latest advancements in AI/ML technologies and a desire to push the envelope in applying them to real-world challenges.
• Experience leading a small team of software engineers and delivering high-quality software solutions.
• Experience building scalable solutions for the web.
• Experience working in a fast-moving agile environment, and able to help a team adapt and optimise its processes to meet its current needs and challenges.
• Strong understanding of continuous integration/continuous deployment (CI/CD) practices and tools.