Software Engineer (Generative AI)
- London, United Kingdom
- Hybrid
- Mid Level
- 3+ years
- Posted
Skills
Required
- generative AI
- microservices
- LLMs
- vector databases
- Pinecone
- pgvector
- modern open-source agentic frameworks
- FastAPI
- PostgreSQL
- Claude / Cursor / GitHub
- Azure
- Docker
- Kubernetes
Preferred
- Python
- modern frameworks
- low-latency
Join WRITER, a leading generative AI company, as a Software Engineer. In this role, you'll design and develop robust, secure, and scalable generative AI services and applications, optimize high-performance APIs and microservices, and implement responsive user interfaces. You'll collaborate closely with cross-functional teams and partner with DevOps to ensure top-tier performance and reliability. Enjoy a hybrid work culture, competitive benefits, and the opportunity to shape the future of AI.
Act as a whole-systems thinker by making meaningful system design decisions and owning the architecture of core platform components from initial proposal through production deployment.
About Writer
If you thrive on proactivity without red tape and love owning projects from proposal to deployment, you'll shape the future of AI and contribute to a product that’s changing how the world works
We are open to hiring for this role at multiple levels, from senior to staff software engineer, with compensation ranges scaled to match your experience and expertise
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
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 advanced AI models and sophisticated agentic workflows.
Requirements
- Proven expertise in building and deploying generative AI applications, leveraging LLMs, vector databases like Pinecone, Weaviate, or pgvector, and modern open-source agentic frameworks
- 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
- 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
- 3-5+ years of hands-on experience as a software engineer with a strong emphasis on Python development in production environments
- Practical experience with microservices architecture, RESTful APIs, cloud platforms such as AWS, GCP, or Azure, and containerization with Docker and Kubernetes
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