Own the architecture and hands-on development of a production autonomous agent platform, building multi-agent orchestration, self-improving systems, and AI-powered backend services.
Silver jobs
Connects companies with engineer-vetted Latin American technical talent.
35 open roles at Silver
Own enterprise AI deployments from scoping through production launch, coordinating customer and internal teams, managing delivery risks, and improving agent performance to achieve measurable outcomes.
Own customer-facing engineering projects end to end, translating enterprise workflows into AI agent solutions and deploying, measuring, and improving them for reliable production outcomes.
Own and evolve Fundableβs data platform, building reliable concurrent ingestion, orchestrated workflows, and trusted data pipelines from diverse sources through production.
Serve as Convexityβs founding engineer and technical co-leader, owning architecture and end-to-end product development while working directly with customers and helping build the engineering team.
Build and deploy AI agents for complex enterprise workflows, partnering directly with customers to uncover operational needs, deliver production systems, and improve outcomes through measurement and iteration.
Build and own full-stack features for an AI-powered underwriting platform, from database schemas and backend services to intuitive interfaces, while integrating machine-learning services and scaling production systems.
Build and maintain full-stack talent discovery products, developing search and matching systems for talent matching and rediscovery while improving relevance, stability, and performance.
Build and improve production AI systems that detect potentially harmful financial activity, enrich transaction data, and help protect older adults through measurable, end-to-end product features.
Set technical direction and build resilient, high-scale user services that streamline onboarding, identity verification, and fraud prevention while enabling reliable user lifecycle events across the platform.
Build and operate scalable backend services for fleet tracking, route optimization, billing, and dispatch, while shaping platform architecture, reliability, observability, and infrastructure.
Own technical recruiting across client portfolios, from sourcing and screening through candidate follow-up and placements, while managing client relationships, meeting recruiting goals, and improving team processes.
Source, screen, and place candidates for a portfolio of startup clients, owning client relationships, recruiting operations, and success metrics while improving tools and processes.
Build sophisticated, state-rich interfaces and AI-powered product experiences for an employee benefits workspace, owning UI architecture and delivering reliable, collaborative workflows across the stack.
Own full-stack features and systems from problem definition through production, shaping architecture and product scope while building reliable, scalable AI-powered workflows for consumer brands.
Lead regional technical sales and customer deployments while remaining hands-on with engineering, building integrations, and developing a high-performing team that delivers production-ready AI agents.
Design and ship backend systems and APIs for real-time, business-critical accounting logic, owning features end to end from architecture and testing to deployment, monitoring, and external integrations.
Own technical customer deployments for an AI software platform, partnering with engineering teams to understand workflows, deliver integrations, lead pilots, drive adoption, and turn customer feedback into product improvements.
Own complex customer production issues end to end, debug AI agents and integrations, and build automation that prevents recurring problems while feeding measurable product improvements back to the team.
Lead backend architecture and technical strategy for a squad, building reliable, scalable services while guiding engineering practices, mentoring developers, and coordinating delivery across product and engineering teams.
Own and scale backend systems that move money for millions of users, designing reliable services and APIs while making architectural decisions and supporting production performance.
Lead enterprise AI deployments from scoping through production, coordinating customer and internal teams, managing integrations and delivery risks, and improving agent performance and adoption.
Partner with enterprise customers to turn complex workflows into AI-driven solutions, building and deploying reliable agents while owning system design, production outcomes, and continuous improvement.
Build and improve authentication, account recovery, and identity systems, from self-service support flows to secure login, session management, fraud prevention, and compliant user-data workflows.
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