AI Developer

Location: Portland, OR (in-office part time)Compensation: $90-120KExperience: 1-3 Years or equivalent ‘proof of work’ and side projectsReports to: CTOThe OpportunityMost junior roles involve fixing bugs in legacy systems. This isn't one of them.The OpportunityAt Zelody, we are rebuilding financial infrastructure from the ground up using an AI-first approach. We are looking for a hungry, "AI-native" Software Engineer who is obsessed with the potential of LLMs and autonomous agents.You will work directly with our CTO and Principal Architect to turn experimental AI concepts into production-grade financial tools. You’ll build and ship AI-driven workflows that connect APIs, transform data, and automate real financial operations.The RoleThis is a learn as you go position where your curiosity, work ethic, and drive is as important as your experience and current skillset. You will:Prototype: Rapidly build "proof of concept" features using AI frameworksTest 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.What You Bring (The "AI Mindset")1–3 years of professional software engineering experience (Fintech experience is a "nice to have," but your ability to build is what matters).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 Build & Iterate: 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).The "Zelody" Pace: You thrive in a startup environment where things move fast and your work has a direct impact on the company’s success.Technical Stack & RequirementsLanguages: Experience with TypeScript/Node.js Infrastructure: Some experience with cloud systems like AWS, event-driven architectures.Early Experience with vector databases (Pinecone, Weaviate, etc.).Examples: You’ve built something that uses an LLM to "do" something (execute a tool or call an API), not just "say" something.Why Join Zelody?We are backed by high-conviction funds including Counterpart Ventures and The Fintech Fund. We have revenue, we have product, and we have a massive problem to solve. We’re turning "data noise" into a symphony. If you’re tired of building incremental CRUD apps and want to design the autonomous future of finance, let’s talk.