5 days ago
London, United KingdomSenior
Responsibilities
- Architect, develop, and deploy high-performance, scalable AI applications into production with robust platform integrations.
- Develop intelligent agents and AI-powered features that translate complex research into practical customer solutions.
- Collaborate with research scientists, data scientists, and product managers to define requirements and deliver business-critical features.
- Evaluate emerging AI technologies, frameworks, and tools for enterprise generative AI applications.
- Promote responsible AI practices, including bias detection, explainability, and safety alignment.
- Write clean, efficient, and well-tested code for scalable software systems.
Requirements
- At least 5 years of professional experience building and deploying machine learning or AI systems in production.
- Proficiency in Python and experience with AI/ML frameworks such as PyTorch, TensorFlow, or JAX.
- Strong foundation in machine learning, deep learning architectures, natural language processing, and large language models.
- Experience with cloud platforms such as AWS, GCP, or Azure and with MLOps tools for managing the AI lifecycle.
- Demonstrated problem-solving ability and willingness to address complex technical challenges with creative AI solutions.
- Ability to collaborate across diverse teams, innovate, and take ownership of projects.
Benefits
- Generous paid time off and company holidays.
- Comprehensive medical and dental insurance.
- Sixteen weeks of paid parental leave for all parents.
- Fertility and family planning support.
- Competitive pension scheme with company contribution.
- Annual wellness, learning and development, and work-life stipends.
- Company-wide and team off-sites.
- Company stock options.
- Hybrid work arrangement in WRITER’s London hub.
Tech Stack
Categories
About WRITER
WRITER builds an enterprise generative AI platform for creating, deploying, and supervising AI agents grounded in company data and powered by proprietary LLMs. It sells subscriptions and services to large organizations, with customers such as Accenture, Marriott, Uber, Mars, and Vanguard. Founded in 2020 and headquartered in San Francisco, the privately held company raised a Series C in 2024.