Full-Stack Software Engineer
New
S
Silver.devFintech
Our remote-first team spans the Americas, with vibrant hubs in Colombia and Argentina.Full-TimeMiddle
Salary not disclosed
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Job Details
- Languages
- English
- Experience
- 3+ years
- Required Skills
- GraphQLNode.jsPostgreSQLPythonTypeScriptGoNext.jsReactRESTful APIs
Requirements
- 3+ years of professional experience as a software engineer, ideally in a full-stack role.
- Strong proficiency with a modern backend stack (Node.js/TypeScript, Python, Go, or similar) and experience designing and consuming REST/GraphQL APIs.
- Solid frontend experience with React (Next.js a plus), TypeScript, and modern state management.
- Comfortable working with relational databases (PostgreSQL), writing non-trivial queries, and thinking about data modeling for transactional systems.
- Experience deploying services to the cloud (AWS, GCP, or similar), with a working understanding of CI/CD, observability, and basic operational practices.
- Comfortable working in English, both written and spoken.
- Hands-on experience integrating LLMs (OpenAI, Anthropic, or equivalent) into production systems.
- Comfort with prompt engineering, structured outputs, tool/function calling, evaluation, and guardrails for AI-driven features.
- Experience with at least one of: retrieval-augmented generation (RAG), agentic workflows, MCP servers/clients, vector search, or LLM observability.
- Daily use of AI-assisted development tools (Claude Code, Cursor, Copilot, or similar).
Responsibilities
- Implement Fuse end-to-end full stack features across our platform: APIs and services on the backend, and customer-facing dashboards and operator tools on the frontend.
- Model and configure each client's lending domain in Fuse: loan types, underwriting rules, debt adjustment rules, task flows, adverse actions, and email/e-sign templates.
- Build and maintain client-specific automations and workflows that orchestrate the end-to-end loan lifecycle, integrating with credit bureaus, KYC providers, banking rails, and document services.
- Ship AI-powered features into production: LLM-based automations, classification and extraction pipelines, agentic workflows, and tool-using agents.
- Own features end-to-end: scoping with implementation, testing, deployment, monitoring, and iteration based on production signals.
- Write clean, well-tested, observable code and contribute to our shared standards on code quality, reliability, and security.
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