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A leading technology company in London is seeking an experienced full stack engineer to tackle ambitious AI Risk Management projects. The ideal candidate will have over 5 years of experience, proficiency in Javascript, Typescript, Python, and experience with databases. The position offers a competitive six-figure salary along with flexible and hybrid working options, fostering a collaborative and innovative engineering environment.
We are looking for experienced full stack engineers who can help us achieve our ambitious goals in the new area of AI Risk Management. You will work independently with little supervision. A strong software engineering background, relevant experience, a willingness to drive change in search of the best solution, and the ability to implement and scale it are required.
We are looking for developers who are enthusiastic about difficult challenges. You must be a self-starter. You will be responsible from day one for code quality and team outcomes. We offer a six-figure compensation package for candidates with the right level of experience and an attitude to succeed. Our company HQ is in central London.
Working at Holistic AI — Engineering team is collaborative and fosters creativity and learning. You will be part of a rewarding, energising and proficient environment. You will work on our greenfield projects that have an impact on what we build and how we build it.
Holistic AI is a leading technology company that empowers enterprises to adopt and scale AI with confidence. Our platform enables organizations to monitor and manage Governance, Risk and Compliance (GRC) for AI, ensuring the use of AI is ethical, responsible, and compliant with regulations. By adopting Holistic AI, organizations can unlock the full potential of AI technologies while minimizing risks and ensuring that AI is used in a way that aligns with their values and goals. We spun out of University College London, with a core team of PhDs in Computer Science. The company is formed by lifelong learners seeking to be the best in their work. Together as a team, we were able to pioneer the AI Risk Management field by having strong practical experience in auditing AI systems.
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