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# Software engineer, generative AI

- **Company:** Writer, Inc.
- **Location:** Seattle, WA, United States
- **Experience:** Experienced
- **Salary:** $111,700.0 - $304,100.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Databases, Continuous Delivery, Cursor (Graphical User Interface Elements), DevOps, Programming Tools, Monitoring of Systems, Identity and Access Management, Python (Programming Language), PostgreSQL, OAuth, Open Source Technology, OpenID, Role-Based Access Control, Security Assertion Markup Language (SAML), Single Sign-On, Software Deployment, TypeScript, Web Application Frameworks, Web Services, Data Logging, GitHub Copilot, ReactJS, Large Language Models, Generative AI, Fastapi, Containerization, Web Technologies, Front End Software Development, Restful APIs, Docker, Microservices
- **Published:** June 5, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=ab4887c446f87c2c

## About the Role

Do you have experience in Web services design?, * 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 like Pinecone, Weaviate, or pgvector, and modern open-source agentic frameworks
 * 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
 * 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
 * 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

## Description

This role is designed for a well-rounded engineering generalist who leans heavily into generative AI while bringing a whole-systems mindset to architectural design. 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. This is a hybrid role based out of our San Francisco, New York City, or London hubs. You'll report to an engineering director or a senior engineering manager.

 * 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.

What you'll do

 * 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 initial proposal through production deployment
 * Implement and maintain responsive user interfaces using technologies like React and TypeScript 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 DevOps engineers
 * Partner with DevOps teams to build continuous deployment, logging, and monitoring systems that ensure top-tier performance, security, and reliability across distributed workloads


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