AI Engineer

Location: Argentina; remote

Salary: $60K–$110K per year, plus offsites and US holidays.

Company

hirify.global is building autonomous AI agents that identify business opportunities, validate ideas, launch software products, and generate initial revenue.

What you will do

• Own the platform architecture and make key technical decisions across the autonomous agent system.
• Design and build multi-agent orchestration infrastructure that takes products from idea to launch.
• Develop self-improving agent harnesses with feedback loops, evaluation systems, and memory.
• Build AI-powered backend services on LLM APIs such as Anthropic, OpenAI, and Gemini, and write production code for agent runtime and orchestration.
• Debug and improve production AI behavior through prompt engineering, structured outputs, retries, and fallbacks.
• Set engineering standards for code reviews, testing, observability, releases, and roadmap prioritization while leading and supporting the engineering team.

Requirements

• 4+ years of professional software engineering experience.
• Previous technical leadership experience at an early-stage company, such as Founding Engineer, Tech Lead, or Head of Engineering.
• 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, including delegating work, reviewing output, and verifying implementations.

Nice to have

• Strong TypeScript and Node.js experience.
• Experience with Vercel AI SDK, Claude Agent SDK, or 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.

Culture & Benefits

• Remote position based in Argentina.
• Work on autonomous systems at the frontier of AI.
• Offsites and US holidays included.
• Hands-on technical leadership with deep involvement in implementation.