The opportunity
WRITER is the AI platform built for the world’s most ambitious marketing and revenue teams, bringing the frontier of AI to the people who drive enterprise growth. With WRITER, autonomous agents work across the buyer journey, continuously executing on market signals and enterprise intelligence to grow revenue faster.
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
What they're looking for
- + 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