AI engineer (UK)
Remote • London, UK • FullTime
Posted 2mo ago
About the job
WRITER is a leading enterprise AI platform that empowers businesses to orchestrate AI-powered work and expand human capacity through superintelligence. We build powerful, trustworthy AI solutions that unite IT and business teams for enterprise-wide transformation. Our end-to-end platform enables companies to build and deploy AI agents grounded in their data and fueled by enterprise-grade LLMs. As an AI Engineer, you will be at the forefront of shaping how enterprises harness superintelligence by building tangible AI solutions that power the future of work. Your work will directly impact the performance, scalability, and ethical alignment of our cutting-edge LLMs and AI agents, enabling businesses to unlock unprecedented levels of productivity and innovation.
Responsibilities
- Architect, develop, and deploy high-performance, scalable AI applications into production environments, ensuring robust integrations with our end-to-end platform.
- Drive the development of intelligent agents and AI-powered features, translating complex research into practical, impactful solutions for our customers.
- Collaborate closely with research scientists, data scientists, and product managers to define technical requirements and deliver features that address critical business needs.
- Contribute to the research and evaluation of emerging AI technologies, frameworks, and tools to maintain WRITER's leadership in the enterprise generative AI space.
- Champion responsible AI practices, including bias detection, explainability, and safety alignment, making sure our AI is trustworthy and ethical.
Requirements
- 5+ years of professional experience building and deploying machine learning or AI systems in a production environment.
- Proficiency in Python and experience with relevant AI/ML frameworks such as PyTorch, TensorFlow, or JAX.
- A strong foundation in machine learning principles, deep learning architectures, and natural language processing, particularly with large language models.
- Experience with cloud platforms (e.g., AWS, GCP, Azure) and MLOps tools for managing the AI lifecycle.
- Demonstrated ability to write clean, efficient, and well-tested code for scalable software systems.
- Exceptional problem-solving skills and a passion for tackling complex technical challenges with creative AI solutions.
- Ability to collaborate seamlessly across diverse teams, challenge the status quo to innovate, and own projects with a commitment to impact and excellence.
Benefits
- Generous PTO, plus company holidays
- Comprehensive medical and dental insurance
- Paid parental leave for all parents (16 weeks)
- Fertility and family planning support
- Early-detection cancer testing through Galleri
- Competitive pension scheme and company contribution
- Annual work-life stipends for wellness and learning/development
- Company-wide off-sites and team off-sites
- Competitive compensation and company stock options