Software Engineer (Generative AI)

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.

- 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. - 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.

- 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 - 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 - 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