Forward Deployed Engineer

Job not on LinkedIn

🕒 May 26

🇦🇷 Argentina – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

👷🏻‍♀️ Engineer

👻 Ghost score 27%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Silver.dev

WebsiteLinkedInAll Job Openings

1 - 10 employees

🎯 Recruiter

👥 HR Tech

🤝 B2B

Recruitment • HR Tech • B2B

Silver. dev is a company dedicated to helping remote engineers find jobs at American tech startups. Founded by engineers for engineers, Silver. dev focuses on advocating for talented individuals by offering direct positions with startups, not acting as a middleman. The company supports a wide range of job seekers, from entry-level to those seeking top-of-market salaries, and provides resources and interview preparation to help candidates succeed. Silver. dev values mission and authenticity, sharing insights through its podcast, "Tecnología Informal. " They also offer services like English coaching and career leveling resources through SilverEd.

📋 Description

• 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.

🎯 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.