AI Engineer

Silver.dev

. Own the system architecture and make key technical decisions across the platform .

Posted 11/5/2026full-timeRemote • ArgentinaMid-LevelSenior💰 $60,000 - $110,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in system architecture and technical leadership, with a strong focus on building and maintaining AI-powered backend services and multi-agent systems. Proficient in prompt engineering and developing self-improving agent harnesses, while effectively leading engineering teams and establishing engineering standards.

Highest-signal resume keywords

Technical Leadership ExperienceMulti-Agent Systems DevelopmentBackend Engineering SkillsLLM-Based Systems ExperienceTypeScript and Node.js Proficiency

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringSystem ArchitectureAPI DesignPrompt EngineeringSelf-Improving Agent DevelopmentDebuggingProduction Code WritingData Flow ManagementOrchestration FrameworksAI Behavior Improvement

Soft Skills

Team LeadershipCollaborationProblem-SolvingCommunication

Tools & Technologies

LLM APIsVercel AI SDKClaude Agent SDKPostgreSQLSupabasePgvectorInngestPub/SubZodVitest

Industry Keywords

AI EvaluationAI SafetyObservabilityDistributed Engineering TeamsEarly-Stage Company Experience

Tech Stack

Tools & technologies

CloudGoogle Cloud PlatformJavaScriptNode.jsPostgresTypeScript

About the role

Key responsibilities & impact

Own the system architecture and make key technical decisions across the platform
Design and build multi-agent systems and orchestration infrastructure that take products from idea to launch
Develop self-improving agent harnesses, including feedback loops, evaluation systems, and memory
Build and maintain AI-powered backend services on top of LLM APIs such as Anthropic, OpenAI, and Gemini
Write production code, particularly around agent runtime and orchestration
Debug and improve AI behavior in production through prompt engineering, structured outputs, retries, and fallbacks
Break down complex technical challenges into actionable milestones and prioritize the engineering roadmap
Establish engineering standards around code reviews, testing, observability, and release processes
Lead and support the engineering team while remaining deeply involved in implementation

Requirements

What you’ll need

4+ years of professional software engineering experience
Previous technical leadership experience at an early-stage company (Founding Engineer, Tech Lead, Head of Engineering, or similar)
Hands-on experience building and shipping multi-agent systems and orchestration frameworks to production
Experience developing self-improving or self-evolving agent harnesses
Strong backend engineering skills, including designing and maintaining APIs, services, and data flows
Experience with LLM-based systems, including prompt engineering, model configuration, structured outputs, embeddings, retrieval, and evaluation
Daily hands-on experience with AI coding agents such as Claude Code, Cursor, OpenAI Codex, or similar tools
Strong TypeScript and Node.js experience
Experience with Vercel AI SDK, Claude Agent SDK, or building custom agent runtimes
Experience with PostgreSQL, Supabase, and pgvector
Familiarity with background job systems such as Inngest or Pub/Sub
Experience with Zod, Vitest, and GCP Cloud Run
Experience growing or restructuring distributed engineering teams
Interest in AI evaluation, safety, and observability
Must be physically located in Argentina
Required willingness to practice for live coding interviews if needed

Benefits

Comp & perks

Offsites
US holidays