Zelody→
AI Developer at Zelody in Portland, OR
Entry LevelHybridPortland, OR$90k–$120k/yr
Skills
typescriptnode.jscloud systemsawsevent-driven architecturesvector databaseslarge language models (llms)ai frameworksfinancial technology (fintech)ai-driven workflowscuriositydrivethrive in a fast-paced startup environment
Job Description
Summary: Zelody is rebuilding financial infrastructure with an AI-first approach and is seeking an AI Developer who is passionate about LLMs and autonomous agents. The role involves prototyping AI-driven features, testing and improving the platform, and shipping production code in a fast-paced startup environment.
Responsibilities:
- Prototype: Rapidly build "proof of concept" features using AI frameworks
- Test and improve the platform: Work alongside senior mentors to learn how to make AI reliable, secure, and compliant in a regulated banking environment
- Ship Production Code: Contribute to our core TypeScript/Node.js stack, ensuring our AI agents play nice with our broader infrastructure
Required Qualifications:
- 1-3 years of professional software engineering experience
- A portfolio of 'AI Experiments': Whether it's a side project, a GitHub repo, or a complex automation you built for fun—we want to see
- Develop and refine agentic workflows that handle real-world financial what you've tried
- Understanding of LLMs: You understand the basics of how LLMs work (tokens, context windows, temperature, and RAG)
- You thrive in a startup environment where things move fast and your work has a direct impact on the company's success
- Experience with TypeScript/Node.js
- Some experience with cloud systems like AWS, event-driven architectures
- Early Experience with vector databases (Pinecone, Weaviate, etc.)
- You've built something that uses an LLM to 'do' something (execute a tool or call an API), not just 'say' something
Preferred Qualifications:
- Fintech experience is a 'nice to have,' but your ability to build is what matters
Required Skills: TypeScript, Node.js, Cloud systems, AWS, Event-driven architectures, Vector databases, Large language models (LLMs), AI frameworks, Financial technology (Fintech), AI-driven workflows, Curiosity, Drive, thrive in a fast-paced startup environment