Silver.dev - Fuse Finance - Forward Deployed Engineer
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; able to ship polished, responsive UIs. • 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; able to collaborate asynchronously with a distributed team. • AI in Production Non-Negotiable • At Fuse, using AI tools effectively is part of the job. We do not just write code with AI assistants; we ship AI features to customers. We expect this candidate to demonstrate real, practical experience here. • Hands-on experience integrating LLMs (OpenAI, Anthropic, or equivalent) into production systems not just prototypes or notebooks. • 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. • Pragmatic understanding of when to use AI versus deterministic logic, including cost, latency, reliability, and risk trade-offs in regulated environments such as lending. • Daily use of AI-assisted development tools (Claude Code, Cursor, Copilot, or similar) with a clear point of view on where they help and where they hurt. • Experience in fintech, lending, payments, or other regulated/financial domains. • Familiarity with rule engines, workflow engines, or BPM-style systems. • Experience designing event-driven architectures and integrating third-party financial APIs (credit bureaus, banking, KYC/AML, e-signature). • Exposure to evaluation frameworks for LLM applications and to building internal tooling for non-technical operators. • How We Work • Small, high-ownership teams: engineers talk directly to customers, PMs, and ops teams. • Strong bias toward shipping: short feedback loops, frequent deploys, and trunk-based development. • AI-native engineering culture: we invest in tooling, agents, and internal copilots that make every engineer more effective. • We care about code quality and reliability. Our customers run real loans on our platform but we are deeply pragmatic about how we get there.
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 (e.g., MCP-style tool integrations) that operate on real customer data. • 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.
Benefits
• $48K – $72K • Offers Equity • Fuse Finance • We are building the AI-native Loan Origination System (LOS) made for automation. Backed by top-tier Series A investors, with over $25M raised and headquartered in New York City, we partner with US finance companies, credit unions, and banks to transform their lending operations. • Our remote-first team spans the Americas, with vibrant hubs in Colombia and Argentina. We’re united by a shared mission: to redefine the lending experience through intelligent automation and an exceptional borrower journey. • Full AI tooling stack covered. • Remote-first culture with strong autonomy. • Real impact on the financial infrastructure used by credit unions and lenders across the U.S. • Direct impact on the product roadmap and on how lending gets done in the region.
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