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Silver.dev

American startups for Argentine Developers

Forward Deployed Engineer

Financial Planning and AnalysisFinancial Planning and AnalysisFull TimeRemoteSeniorTeam 1-10H1B No SponsorCompany SiteLinkedIn

Location

Argentina

Posted

2 days ago

Salary

0

Seniority

Senior

Job Description

Forward Deployed Engineer

Silver.dev

• 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.

Job 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.
  • 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.

Benefits

  • 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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