Forward Deployed Engineer

Vaga não está no LinkedIn

🕒 Maio 26

🇦🇷 Argentina – Remoto

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

👷🏻‍♀️ Engenheiro

👻 Score fantasma 44%

O que significa: a chance de ninguém estar realmente contratando para esta vaga.Como ler: 60% ou mais significa que achamos que é uma vaga fantasma. Pontuações mais baixas preocupam menos.Como pontuamos: tempo em aberto, republicações, vagas abertas vs tamanho do time, rapidez para fechar vagas, e se o salário está divulgado.Observação: é uma estimativa de dados públicos, não um julgamento da empresa. Vagas reais podem ter pontuação alta, então use como uma dica, não como um fato.

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Silver.dev

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1 - 10 funcionários

🎯 Recrutamento

👥 RH Tech

🤝 B2B

Recruitment • HR Tech • B2B

Silver. dev é uma empresa dedicada a ajudar engenheiros(as) remotos(as) a encontrar vagas em startups de tecnologia dos Estados Unidos. Fundada por engenheiros, para engenheiros, a Silver. dev foca em promover profissionais talentosos, oferecendo posições diretas com startups, sem atuar como intermediária. A empresa apoia um amplo espectro de candidatos, de entry-level (júnior) a quem busca salários no topo do mercado, e oferece recursos e preparação para entrevistas para ajudar os(as) candidatos(as) a terem sucesso. A Silver. dev valoriza propósito e autenticidade, compartilhando insights por meio do seu podcast, "Tecnología Informal. " Também oferece serviços como English coaching e recursos de career leveling (definição de níveis de carreira) por meio do SilverEd.

Descrição

• 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.

🎯 Requisitos

• 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.

🏖️ Benefícios

• 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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