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WR
Software Engineer (Generative Artificial Intelligence)
Writer · London, United Kingdom
About The Role
Join WRITER, a leading company in generative AI technology. As a Software Engineer, you will design and develop robust, secure, and scalable generative AI services and applications. You will work closely with cross-functional teams and have the opportunity to shape the future of AI. Enjoy a flexible work environment, competitive benefits, and the chance to make a significant impact in the industry.
- 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 advanced AI models and sophisticated workflows.
- Act as a whole-systems thinker by making meaningful system design decisions and owning the architecture of core platform components.
- Exposure to enterprise architecture including practical experience implementing IAM, SSO, SAML, OAuth, OIDC, RBAC, robust security best practices, or building services for enterprise administration and billing systems
- Practical experience with microservices architecture, RESTful APIs, cloud platforms such as AWS, GCP, or Azure, and containerization with Docker and Kubernetes
- Solid grasp of modern web technologies including FastAPI, Asyncio, database systems like PostgreSQL, and hands-on experience leveraging AI developer tooling like Claude, Cursor, or GitHub Copilot to accelerate your engineering workflows
- Proven expertise in building and deploying generative AI applications, leveraging LLMs, vector databases like Pinecone, Weaviate, or pgvector, and modern open-source agentic frameworks
- 3-5+ years of hands-on experience as a software engineer with a strong emphasis on Python development in production environments
- A Connect mindset that thrives in collaborative settings where you actively engage with cross-functional teams and mentor other engineers, a Challenge spirit that drives you to tackle complex technical hurdles and proactively suggest innovative improvements, and an Own attitude where you take full accountability for delivering high-quality, resilient, and scalable code from conception to production
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