AI Software Engineer — Remote | Contractor | Full-Time

We’re hiring an AI Software Engineer to design, build, and own production AI systems — and the platform and infrastructure behind them. You’ll ship real LLM-powered products (agents, RAG pipelines, orchestration layers), own the full cloud stack, and occasionally work directly with clients to turn their goals into working solutions. This is a hands-on engineering role: you use AI tools to move faster, but you read, debug, and defend every line you ship.

Modality: Remote

Contract type: Contractor

Schedule: Full-time

Language: English required

Location: Open to candidates based in México, Colombia, Argentina, Perú, República Dominicana, Chile, Uruguay, Costa Rica, Guatemala, Honduras, Nicaragua, El Salvador, Bolivia, Paraguay, or Ecuador, or Panamá

Responsibilities:

• Design, build, and maintain production services, APIs, and AI-powered workflows and agents

• Integrate LLMs into business systems with guardrails, evaluation loops, and defenses against prompt injection and related risks

• Own the full infrastructure stack: cloud, networking, containers and orchestration, CI/CD, IaC, observability, and security

• Build reusable, multi-tenant platform components that other engineers and client projects build on — not one-off solutions

• Keep reliability, latency, and model/token costs visible and under control

• Work with clients to scope their goals and translate them into technical delivery plans with measurable outcomes

• Keep stakeholders informed on progress, risks, and tradeoffs

Requirements:

• 5+ years of professional software engineering, writing, reviewing, and maintaining production code

• Deep proficiency in at least one production language: Python, TypeScript, or Go

• Strong fundamentals in system design, APIs, databases, testing, debugging, and security

• Daily use of AI coding tools (Claude Code, Cursor, Copilot, or similar), with the judgment to review, correct, and own their output

• Proven experience building platforms that other developers or teams build on top of

• Hands-on experience across the infrastructure stack: a major cloud provider (AWS, GCP, or Azure), Terraform or equivalent IaC, Kubernetes or containers, CI/CD, monitoring, and alerting

• Experience designing scalable, secure, multi-tenant systems

• Hands-on experience shipping LLM-based systems to production — agents, RAG, or orchestration — using OpenAI, Anthropic, or a similar provider

• English proficiency required (working language)

Nice to have:

• Experience working directly with clients or business stakeholders

• Ability to scope ambiguous problems and turn them into concrete delivery plans

• Business sense: connecting technical decisions to measurable business outcomes