Software engineer, generative AI (UK)
Remote • London, UK • FullTime
Posted 1mo ago
Job Location
London, UK
Tech Stack
Remote Work Policy
Fully remote
Employment Type
FullTime
Categories
Applied AI Engineer
About the job
WRITER is a leading enterprise AI company focused on expanding human capacity through superintelligence. Our platform enables businesses to build and deploy AI agents grounded in their data, powered by enterprise-grade LLMs. We are seeking a Software Engineer, Generative AI to build the secure, scalable foundation for our AI solutions in complex corporate environments. This role is for a well-rounded engineering generalist with a strong focus on generative AI and a whole-systems mindset for architectural design. You will own projects from proposal to deployment, shaping the future of AI and contributing to a product that is changing how the world works.
Responsibilities
- Design and develop robust, secure, and scalable generative AI services and applications using Python and modern frameworks.
- Build and optimize high-performance, low-latency APIs and microservices to integrate AI models and agentic workflows.
- Make system design decisions and own the architecture of core platform components from proposal to production deployment.
- Implement and maintain responsive user interfaces using technologies like React and TypeScript.
- Communicate changes, plans, and proposals to cross-functional teams and collaborate with product managers, data scientists, and DevOps engineers.
- Build continuous deployment, logging, and monitoring systems with DevOps teams to ensure performance, security, and reliability.
Requirements
- 3-5+ years of hands-on experience as a software engineer with a strong emphasis on Python development in production environments.
- Proven expertise in building and deploying generative AI applications, leveraging LLMs, vector databases (e.g., Pinecone, Weaviate, pgvector), and agentic frameworks.
- Practical experience with microservices architecture, RESTful APIs, cloud platforms (AWS, GCP, Azure), and containerization (Docker, Kubernetes).
- Solid grasp of modern web technologies including FastAPI, Asyncio, PostgreSQL, and AI developer tooling (e.g., Claude, Cursor, GitHub Copilot).
- Exposure to enterprise architecture including IAM, SSO, SAML, OAuth, OIDC, RBAC, security best practices, or building services for enterprise administration and billing.
- Collaborative mindset, ability to tackle complex technical hurdles, and take full accountability for delivering high-quality code.
Benefits
- Generous PTO, plus company holidays
- Comprehensive medical and dental insurance
- Paid parental leave (16 weeks)
- Fertility and family planning support
- Early-detection cancer testing
- Competitive pension scheme and company contribution
- Annual work-life stipends (Wellness, Learning and development)
- Company-wide off-sites and team off-sites
- Competitive compensation and company stock options