Remote Lead AI Software Engineer
- cambridge, cambridgeshire, CB2 1TN, United Kingdom
- Permanent·Remote
- Full time
- £100,000 - £100,000 Per Annum
Job Description
About the Role
Our client is seeking a seasoned and visionary Remote Lead AI Software Engineer to guide their engineering team in developing state-of-the-art artificial intelligence applications. This is a pivotal role where you will architect, build, and deliver sophisticated AI-powered software solutions. You will lead technical strategy, mentor engineers, and ensure the highest standards of code quality and system design. As a fully remote position, this role offers exceptional flexibility and the opportunity to make a significant impact from anywhere in the UK, driving innovation in a collaborative, distributed environment.
Key Responsibilities
- Lead the design and development of scalable, production-ready AI software systems.
- Architect robust and efficient software solutions, incorporating machine learning models and algorithms.
- Mentor and guide a team of software engineers, fostering technical growth and excellence.
- Collaborate with product managers and data scientists to define technical requirements and roadmaps.
- Ensure the implementation of best practices in software engineering, testing, and deployment for AI applications.
Requirements
- Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.
- 7+ years of experience in software engineering, with at least 3 years focused on AI/ML development.
- Proven experience leading engineering teams and managing complex software projects.
- Expertise in programming languages such as Python, C++, or Java, and experience with AI frameworks.
- Strong understanding of distributed systems, cloud computing, and software architecture patterns.
Benefits
- Exceptional salary and performance-based bonuses.
- Comprehensive health, dental, and vision benefits.
- Generous stock options or equity package.
- Significant budget for professional development, conferences, and training.
- A fully remote working culture that values autonomy and collaboration.


