AI Engineer - stealth startup ex Palantir founders

A pioneering organisation at the forefront of artificial intelligence is seeking an AI Engineer to join its London-based team in a hybrid capacity. This is a unique opportunity to work on the next generation of intelligent, multi-agent systems, contributing directly to the advancement of agentic AI and generative models. The company has recently secured significant funding and is expanding rapidly, offering you the chance to play a pivotal role in shaping transformative AI-driven solutions that have real-world impact. You will thrive in a collaborative, supportive environment where your expertise will be valued and your ideas can help define the future direction of the platform. With flexible working arrangements, equity participation, and a comprehensive benefits package, this role offers both professional growth and personal fulfilment.

As an AI Engineer within this forward-thinking organisation, you will immerse yourself in designing intricate multi-layered artificial intelligence solutions that push the boundaries of what is possible. Your day-to-day activities will involve architecting robust multi-agent systems using state-of-the-art frameworks while collaborating with talented colleagues from diverse backgrounds. You will be responsible for translating theoretical advances into practical implementations that deliver measurable value for users. By mentoring others and participating in knowledge-sharing initiatives, you will help cultivate a culture of curiosity and shared success. Your ability to communicate complex ideas clearly will enable you to bridge gaps between technical development teams and broader business objectives. Ultimately, your contributions will drive the evolution of an industry-leading platform that is setting new standards for intelligent automation.

• Design, develop, and implement sophisticated artificial intelligence systems with a particular focus on multi-agent architectures and advanced techniques such as prompt optimisation and reinforcement learning from human feedback.
• Collaborate closely with cross-functional teams to integrate innovative AI solutions into the core platform while ensuring scalability, reliability, and high performance.
• Translate complex technical concepts into clear, actionable insights for both technical colleagues and non-technical stakeholders across product and business functions.
• Drive progress by experimenting with novel approaches in agentic AI and generative models, staying up-to-date with the latest advancements in the field.
• Contribute to ongoing improvements of existing AI systems by optimising for key performance metrics including response accuracy and user engagement.
• Mentor junior engineers within the team by sharing your expertise and fostering an environment of continuous learning and innovation.
• Participate actively in code reviews, design discussions, and collaborative problem-solving sessions to ensure best practices are followed throughout development cycles.
• Support ethical AI development by considering bias mitigation strategies and explainability in system design where appropriate.
• Engage with open-source communities or contribute to publications when possible to enhance both personal growth and organisational reputation.

What you bring:

To excel as an AI Engineer in this role, you will bring proven experience architecting sophisticated artificial intelligence solutions that address real-world problems. Your background should include deep familiarity with modern frameworks used for building scalable machine learning models as well as practical exposure to emerging trends like generative models or reinforcement learning. You will possess outstanding interpersonal skills that allow you to collaborate seamlessly across multidisciplinary teams while articulating complex ideas clearly. A commitment to continuous improvement-both personally and collectively-will see you thrive within this supportive environment. Your educational achievements or equivalent hands-on expertise demonstrate your readiness to tackle challenging projects at scale. If you have contributed to open-source initiatives or published research in relevant domains, these experiences will further distinguish your application.

• Demonstrated experience building complex artificial intelligence systems with a strong emphasis on multi-agent architectures or related areas such as prompt engineering or reinforcement learning from human feedback.
• Extensive hands-on proficiency with leading AI frameworks including PyTorch, TensorFlow, or Hugging Face libraries alongside advanced Python programming skills.
• Applied expertise in natural language processing (NLP), generative AI models, or reinforcement learning methodologies is highly desirable.
• Exceptional communication abilities enabling you to explain intricate technical concepts effectively to both technical peers and non-technical stakeholders alike.
• Advanced academic qualifications such as a Master's degree or PhD in Computer Science, Artificial Intelligence, Machine Learning or closely related disciplines; equivalent practical experience also considered valuable.
• A passion for driving innovation through experimentation combined with a proactive approach towards solving complex challenges within artificial intelligence development environments.
• Eligibility to work in the United Kingdom for at least 12 months along with availability for hybrid work arrangements based out of London.
• Experience working on conversational AI platforms, dialogue systems or customising agents through branding or personality integration would be advantageous.
• Familiarity with ethical considerations in AI such as bias mitigation strategies or explainable AI principles is beneficial but not essential.
• Contributions to open-source projects or relevant academic publications are viewed favourably as evidence of thought leadership within the field.

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