AI Engineer

This is a fully remote position, open to applicants in Argentina.

📋 Description

• Take ownership of the system architecture and make critical technical decisions across the platform.

• Design and construct multi-agent systems and orchestration infrastructure that transition products from concept to launch.

• Develop self-improving agent harnesses, which include feedback loops, evaluation systems, and memory capabilities.

• Create and sustain AI-driven backend services utilizing LLM APIs such as Anthropic, OpenAI, and Gemini.

• Produce production code, particularly focusing on agent runtime and orchestration.

• Troubleshoot and enhance AI behavior in production via prompt engineering, structured outputs, retries, and fallbacks.

• Decompose complex technical challenges into manageable milestones and prioritize the engineering roadmap.

• Set engineering standards for code reviews, testing, observability, and release processes.

• Lead and mentor the engineering team while remaining actively engaged in implementation.

⛳️ Requirements

• Over 4 years of professional software engineering experience.

• Prior technical leadership experience at an early-stage company (Founding Engineer, Tech Lead, Head of Engineering, or similar roles).

• Hands-on experience in building and deploying multi-agent systems and orchestration frameworks in production.

• Experience in developing self-improving or self-evolving agent harnesses.

• Strong backend engineering abilities, encompassing the design and maintenance of APIs, services, and data flows.

• Familiarity with LLM-based systems, including prompt engineering, model configuration, structured outputs, embeddings, retrieval, and evaluation.

• Daily practical experience with AI coding agents such as Claude Code, Cursor, OpenAI Codex, or similar tools.

• Proficient in TypeScript and Node.js.

• Experience with Vercel AI SDK, Claude Agent SDK, or creating custom agent runtimes.

• Knowledge of PostgreSQL, Supabase, and pgvector.

• Familiarity with background job systems like Inngest or Pub/Sub.

• Experience with Zod, Vitest, and GCP Cloud Run.

• Background in growing or restructuring distributed engineering teams.

• Interest in AI evaluation, safety, and observability.

• Must reside in Argentina.

• Willingness to prepare for live coding interviews if necessary.

🏝️ Benefits

• Offsites.

• US holidays.