Writer · Posted 3w ago
Software Engineer (Generative AI)
Job relayed by Stapply Data, its source: you apply there.
- Location
- 🇺🇸 United States
- Contract
- Full-time
- Role
- ML engineering
- Source
- Stapply Data
Stack
- LLM
- Vector DB
- PostgreSQL
- Python
- AWS
- GCP
- Azure
- Kubernetes
- Docker
The posting
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 workflows. - Act as a whole-systems thinker by making meaningful system design decisions and owning the architecture of core platform components.
- 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 - 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 - 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 - Practical experience with microservices architecture, RESTful APIs, cloud platforms such as AWS, GCP, or Azure, and containerization with Docker and Kubernetes