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Fuse Finance - Forward Deployed Engineer

<h1><a target="_blank" rel="noopener noreferrer nofollow" href="https://www.fusefinance.com/">Fuse Finance</a></h1><h2>About Fuse</h2>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.<h2>The Role</h2>We are looking for a Full-Stack Software Engineer to join our engineering team. You will design, build, and ship features across our lending platform from the underwriting and automation engine to the dashboards our customers use every day. You will work close to the business logic that drives real lending decisions, with strong customer and engineering ownership from day one.We expect every engineer at Fuse to leverage AI tools as a core part of their daily workflow not only to code faster, to deploy AI-powered automations and agents that make each implementation faster and more reliable: automations, agentic workflows, and decisioning components that real customers depend on.<h2>What You'll Do</h2>• 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.<h2>What We Are Looking For</h2>Required• 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.<h2>AI in Production Non-Negotiable</h2>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.<h2>Nice To Have</h2>• 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.<h2>How We Work</h2>• 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.<h2>What We Offer</h2>• Competitive compensation.• 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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