FUSE FINANCE
Finance
ForwardDeployedEngineer
Neural analysis suggests this role is
optimal for Mid candidates.
“Forward Deployed Engineer at FUSE FINANCE. Skills: Full-Stack Software Engineer, AI-native, LLM integration. Implement end-to-end full stack features. Model and configure lending domain”
What You'll Achieve.
make each implementation faster and more reliable; customers run real loans on our platform
Industry & Context.
thinking about data modeling; Pragmatic understanding of when to use AI versus deterministic logic
What They're Looking For.
Must Have
3+ years of professional experience as a software engineer, proficiency with a modern backend stack (Node.js/TypeScript, Python, Go, or similar), experience designing and consuming REST/GraphQL APIs, Solid frontend experience with React, TypeScript, modern state management, able to ship polished, responsive UIs, Comfortable working with relational databases (PostgreSQL), writing non-trivial queries, thinking about data modeling for transactional systems, Experience deploying services to the cloud (AWS, GCP, or similar), working understanding of CI/CD, observability, basic operational practices, Comfortable working in English, both written, able to collaborate asynchronously with a distributed team, Hands-on experience integrating LLMs (OpenAI, Anthropic, or equivalent) into production systems, Comfort with prompt engineering, structured outputs, tool/function calling, evaluation, 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, cost, latency, reliability, and risk trade-offs in regulated environments, Daily use of AI-assisted development tools (Claude Code, Cursor, Copilot, or similar)
Nice to Have
Next. js a plus, 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, integrating third-party financial APIs (credit bureaus, banking, KYC/AML, e-signature), Exposure to evaluation frameworks for LLM applications, building internal tooling for non-technical operators
What You'll Do.
Implement end-to-end full stack features
Model and configure lending domain
Build and maintain client-specific automations
integrate with credit bureaus
and document services
Ship AI-powered features into production
Own features end-to-end
contribute to shared standards on code quality
How You'll Work.
Team & Collaboration
collaborate asynchronously with a distributed team; engineers talk directly to customers, PMs, and ops teams
Communication Scope
working in English, both written
Process & Methodology
scoping with implementation
Full Job Description
FUSE FINANCE https://www.fusefinance.com/ ABOUT FUSE 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. THE ROLE 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. WHAT YOU'LL DO • 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 op
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