Software engineer, generative AI

About WRITER

WRITER is where the world's leading enterprises orchestrate AI‑powered work. Our vision is to expand human capacity through superintelligence, and we are proving it possible through powerful, trustworthy AI that unites IT and business teams to unlock enterprise‑wide transformation. With WRITER’s end‑to‑end platform, hundreds of companies such as Mars, Marriott, Uber, and Vanguard build and deploy AI agents grounded in their data and fueled by enterprise‑grade LLMs.

Valued at $1.9 B and backed by investors including Premji Invest, Radical Ventures, and ICONIQ Growth, WRITER is cementing its position as the leader in enterprise generative AI.

Founded in 2020 with office hubs in San Francisco, New York City, Seattle, Austin, Chicago, and London, our team thinks big, moves fast, and is looking for smart, hardworking builders and scalers to join us in creating a better future of work with AI.

Imagine stepping into a role where your code directly empowers the world’s largest enterprises to safely adopt superintelligence. As a software engineer, generative AI at WRITER, you will build the secure, scalable foundation that enables our generative AI solutions to thrive in complex corporate environments. This hybrid role is based in San Francisco, New York City, or London and reports to an engineering director or senior engineering manager.

We are open to hiring for this role at multiple levels, from senior to staff software engineer, with compensation ranges aligned to your experience and expertise.

• Design and develop robust, secure, and scalable generative AI services and applications using Python and modern frameworks to drive enterprise‑wide transformation.
• Build and optimize high‑performance, low‑latency APIs and microservices to integrate advanced AI models and sophisticated agentic workflows into our core platform.
• Act as a whole‑systems thinker by making meaningful system design decisions and owning the architecture of core platform components from proposal through production deployment.
• Implement and maintain responsive user interfaces using technologies such as React and Type Script to deliver intuitive user experiences and bridge the gap between backend services and frontend enablement.
• Drive proactivity without red tape by clearly communicating changes, plans, and proposals to cross‑functional teams and collaborating closely with product managers, data scientists, and Dev Ops engineers.
• Partner with Dev Ops teams to build continuous deployment, logging, and monitoring systems that ensure top‑tier performance, security, and reliability across distributed workloads.

• 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 (Pinecone, Weaviate, or pgvector), and modern open‑source agentic frameworks.
• Practical experience with microservices architecture, RESTful APIs, cloud platforms (AWS, GCP, or Azure), and containerization with Docker and Kubernetes.
• Solid grasp of modern web technologies including FastAPI, Asyncio, PostgreSQL, and hands‑on experience with AI developer tooling such as Claude, Cursor, or Git Hub Copilot to accelerate engineering workflows.
• Exposure to enterprise architecture, including experience implementing IAM, SSO, SAML, OAuth, OIDC, RBAC, robust security best practices, or building services for enterprise administration and billing systems.
• A Connect mindset that thrives in collaborative settings, a Challenge spirit that tackles complex technical hurdles and suggests innovative improvements, and an Own attitude where you take full accountability for…