Empleo de AI Software Engineer en Remoto-114794-REMOTO

Publicado hoy.

AI Software Engineer en Crossbridge

Sueldo oculto

Remoto: LATAM

Empleado de tiempo completo

Inglés : Nivel Avanzado

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

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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