Backend Engineer (AI)

TL;DR

Backend Engineer (AI): Building and optimizing hirify.global's API, AI services, and workflow platform with an accent on architecture and end-to-end product implementation. Focus on designing customer-facing APIs, creating agentic microservices for natural language queries, and building a custom workflow automation engine.

Location: Remote (Must be based in Argentina)

Salary: $60K – $96K + Equity

Company

hirify.global provides real-time startup data and signals to help growth teams find new customers and investors source their next deals.

What you will do

• Design and implement the new external API from OpenAPI spec to production.
• Build agentic microservices that convert natural language queries into deterministic filters and permalinks.
• Develop a native workflow builder from scratch for creating recurring automations using startup data.
• Modernize the MCP to implement customer-scoped authentication and auditable credit charging.
• Collaborate directly with founders on architectural decisions and own end-to-end product implementation.

Requirements

• Strong experience building production backend systems from scratch.
• Proficiency in TypeScript/Node.js or Python, SQL, and Postgres.
• Experience designing APIs and distributed jobs with authentication, idempotency, and observability.
• Ability to use AI tooling (Claude, Codex) to build maintainable and modular systems.
• Practical experience with LLM-backed systems, RAG, agentic frameworks, and deterministic validation.
• Must be based in Argentina.

Nice to have

• Experience working with open-source LLMs.
• Background in search, entity resolution, or workflow engines.
• Experience with GCP services, specifically Google Cloud Run.
• Frontend skills in React/Next.js to ship customer-facing flows.
• Experience with Supabase, Vercel, Clerk, and Stripe.

Culture & Benefits

• AI-first culture focused on continuous improvement of internal workflows.
• High autonomy with ownership of solutions from architecture through production.
• Equity offers as part of the compensation package.
• Flexible communication rhythm starting with daily standups and moving to asynchronous check-ins.

Hiring process

• Recruiter screen and technical interview.
• Client resume review and behavioral interview.
• Technical case study followed by a defense interview.