Software engineer developing generative AI solutions for Writer, leveraging Python and TypeScript in a hybrid environment.
Responsibilities
Design and develop robust and scalable generative AI services using Python and open source frameworks such as Writer Agent Builder, LangChain, and n8n.
Implement responsive and user-friendly frontend interfaces, leveraging technologies like React, TypeScript, and modern web frameworks.
Work with cloud platforms such as AWS, GCP, or Azure to deploy and scale applications.
Develop and integrate high-performance, low-latency APIs for AI-driven features.
Ensure code quality through testing, peer reviews, and continuous integration.
Collaborate with the team to build, and maintain generative AI agents.
Participate in architectural design discussions and promote engineering best practices.
Continuously improve the application’s performance, scalability, and maintainability.
Requirements
5+ years of experience in software engineering at expert level with Python
Experience building web applications using FastAPI and Asyncio
Experience building with generative AI applications in production environments.
Expertise with microservices architecture and RESTful APIs.
Solid understanding of database technologies such as PostgreSQL and vector databases as Elastic, Pinecone, Weaviate, or similar.
Familiarity with cloud platforms (AWS, GCP, etc.) and containerized environments (Docker, Kubernetes).
Familiarity with MCP, devtools, AI agents, or contributed to open source
You are committed to writing clean, maintainable, and scalable code, following best practices in software development.
You enjoy solving complex problems and continuously improving the performance and scalability of systems.
You thrive in collaborative environments, working closely with cross-functional teams to build impactful features.
Proven ability to help teams adopt technical best practices.
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