HireLATAM

Remote AI Engineer

HireLATAM  •  $78k/yr  •  Remote  •  5 hours ago
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Job Description

HireLatam is a premier recruitment agency that places top Latin American talent in independent contractor roles in US companies. With a proven track record and a commitment to excellence, we're your trusted partner in the pursuit of career success. Our extensive network, personalized approach, and supportive guidance ensure that you're in the best hands to find your next job opportunity.

Job Title: Remote AI Engineer (100% Work From Home)

Location: Remote from Latin America

Position Type: Full-time

Salary: $6,500 USD/month

Schedule: Monday – Friday, 9:00 AM – 6:00 PM LATAM hours with lunch break.

About the Client

Our Client is a tech-forward platform company where AI agents serve as core operational infrastructure rather than ancillary features. Designing and deploying multi-agent systems directly on top of their core application, our client automates complex customer-facing and internal workflows—ranging from customer access support and user onboarding to WhatsApp conversational streams, real-time voice/call interactions, and business intelligence analytics. Operating with rigorous production standards, our client prioritizes system reliability, automated evaluation pipelines, low-latency streaming, and robust observability for high-volume customer interactions.

About the Role

Our Client is seeking a production-focused Senior AI Engineer to design, build, and operate multi-agent systems at scale. This is a hands-on execution role for a seasoned engineer who treats AI systems with the same engineering rigor as traditional mission-critical infrastructure. Reporting directly to engineering leadership, this professional will architect multi-agent handoffs, optimize low-latency streaming pipelines (including voice and WhatsApp channels), build automated evaluation frameworks, and instrument end-to-end observability across all live conversational agents.

Key Responsibilities

Multi-Agent System Architecture & Orchestration

  • Designs and deploys multi-agent orchestration frameworks on top of existing product infrastructure, establishing clear agent roles, tool access permissions, memory structures, and handoff protocols.
  • Builds low-latency, responsive streaming architectures that power real-time conversational agents across text, WhatsApp, and live voice/call pipelines.
  • Integrates autonomous agents with internal APIs, databases, and business intelligence dashboards to execute complex, multi-step customer workflows seamlessly.

Evaluation, Testing & Quality Assurance

  • Owns the end-to-end evaluation lifecycle, designing automated scoring pipelines, test datasets, and "LLM-as-judge" setups to prevent hallucinations, quality regressions, and drift.
  • Implements robust safety guardrails and boundary constraints for autonomous agents making real-time decisions or holding live conversations with minimal human oversight.
  • Debugs, troubleshoots, and refines non-deterministic agent outputs across live production environments to maintain high accuracy and customer satisfaction.

Observability, Security & Full Lifecycle Operations

  • Instruments comprehensive observability suites, tracking structured logs, detailed agent execution traces, tool calls, token costs, latency distributions, and accuracy metrics.
  • Manages the complete agent feature lifecycle—from prompt engineering and system design to API integration, unit testing, CI/CD deployment, and production monitoring.
  • Collaborates closely with product and core software engineering teams to ensure clean, modular integration into the existing application codebase without service disruption.

Qualifications, Skills, and Key Competencies

Required Qualifications

  • Production Multi-Agent Experience: Proven, hands-on background building and orchestrating multi-agent LLM architectures in live, user-facing production environments (not limited to prototypes, personal projects, or hackathons).
  • Agent System Design Mastery: Deep understanding of agent design patterns, including role separation, coordination/handoff logic, function calling/tool usage, long/short-term memory management, and advanced RAG architectures.
  • Streaming & Low-Latency Architecture: Demonstrated expertise in building low-latency, streaming data architectures for real-time responsiveness.
  • Systematic Evaluation Frameworks: Practical experience establishing automated testing, regression detection pipelines, and quality scoring systems for non-deterministic AI outputs.
  • Observability & Telemetry: Hands-on experience with LLM tracing, structured logging, cost tracking, and performance dashboards (e.g., LangSmith, Phoenix, Arize, Datadog).
  • Core Software Engineering: Exceptional software development fundamentals, clean code practices, API integration expertise, and database fluency.
  • Advanced English Proficiency: Excellent written and spoken English skills to collaborate effectively with cross-functional engineering teams.
  • Remote Infrastructure: Dedicated home workspace with high-performance computing hardware, reliable power redundancy, and high-speed internet.

Preferred Qualifications

  • Direct prior experience building voice/call agents, including real-time Speech-to-Text (STT), Text-to-Speech (TTS) pipelines, or telephony integrations.
  • Experience architecting analytics/BI agents capable of reasoning over structured data models and business dashboards.
  • Prior technical background in customer support workflows, CRM systems, or enterprise SaaS operations.

Benefits

  • Competitive Compensation: Fixed salary of $6,500 USD/month.
  • High-Impact Architecture: Direct ownership of production-grade AI infrastructure serving active, real-world users.
  • Schedule Alignment: Full-time stability tailored to standard LATAM business hours.
  • 100% Remote Infrastructure: Work fully remotely from anywhere in Latin America.

Application Disclaimer: Please Read Before Proceeding

To ensure a fair and efficient hiring process, all applications must meet the mandatory requirements listed in the job description.

Voice/Video Recording is REQUIRED

Your application CANNOT be considered without a voice or video recording. It must be at least 30 seconds long and in English. Submissions in any other language or missing a recording will be automatically disqualified.

Mandatory Knockout Questions

Each application includes knockout questions designed to verify minimum qualifications required by the client. If you answer "NO" to any of these, you will be immediately disqualified from the hiring process for not having the experience requested for the role. Please note that the citizenship question is also a knockout if you answer "YES" as we are only able to hire Latin American talent based in Latin America.

Apply Wisely

To maintain fairness, please apply to no more than three jobs and only if you fully meet the listed qualifications. Applying to roles you don’t qualify for will not improve your chances and may affect future applications.

Check Your SPAM Folder

All important updates will be sent via email, so be sure to check your inbox and spam/junk folders to avoid missing any communication.

We appreciate your interest and look forward to reviewing your application!

HireLATAM

About HireLATAM

HireLATAM connects U.S. businesses with top-tier remote talent from Latin America. We specialize in finding skilled professionals across various industries, including software development, customer service, digital marketing, and more. Our mission is to bridge the gap between high-quality Latin American talent and U.S. companies seeking cost-effective, dedicated, and culturally aligned team members.

Whether you're looking to scale your team or need specialized expertise, HireLATAM streamlines the hiring process, ensuring you find the right fit quickly and efficiently. We handle the recruitment, so you can focus on growing your business.

Explore how nearshoring with HireLATAM can enhance your team's productivity and give your business a competitive edge.

Industry
HR & Recruiting
Company Size
51-200 employees
Headquarters
Durango, CO
Year Founded
Unknown
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