AI Engineer
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Job Description
AI Engineer architecting autonomous multi-agent systems for a startup that identifies opportunities and launches software products. Building self-improving agents and AI-powered backend services.
Responsibilities:
- 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:
- 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:
- Offsites
- US holidays
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