Remote AI Engineer

HireLATAM; México; A distancia; MXN 400,000 - 600,000; Jornada completa

Descripción de la vacante

A recruitment agency specializing in AI talent is looking for a Remote AI Engineer to work from Latin America. This full-time role involves building and integrating AI-driven features, deploying AI models, and creating microservices. Candidates should have 3-5 years of software engineering experience in Java and Python, with proficiency in AI frameworks and AWS. The position offers a salary of $4,000/month and a remote work environment with flexible hours.

Servicios

Remote-first work environment

Flexible hours

Continuous learning opportunities

Formación

• 3-5 years of experience in software engineering with Java and Python.
• Strong experience with AI frameworks and prompt engineering.
• Proficiency in AWS and containerization practices.

Responsabilidades

• Develop and deploy AI-driven features using external AI APIs.
• Create Python microservices for ML workloads.
• Productionize ML models with Docker and AWS.

Conocimientos

Software engineering experience

AI frameworks (LangChain, LlamaIndex)

LLMs and RAG patterns

ML workflows (NumPy, Pandas)

SQL and NoSQL databases

AWS experience

Docker and CI/CD practices

Herramientas

FastAPI

Java Spring Boot

AWS services

Descripción del empleo

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.

Remote AI Engineer (100% Work From Home)

Location: Remote from Latin America

Position Type: Full-time

Salary: $4,000 USD/month

Schedule: Monday-Friday, business hours in one of the major US time zones

Job Overview

We’re building a pipeline of talented AI Engineers to join our portfolio of clients. This role combines cutting‑edge AI/ML integration with practical software engineering to deliver production‑ready solutions that automate workflows and enhance user experiences. You’ll work on diverse projects ranging from document processing pipelines, transforming legacy workflows to LLM‑powered personalization systems. Please keep in mind that the description below may vary depending on the specific client and role.

Responsibilities

AI/ML Development & Integration

• Build and deploy AI‑driven features using LLMs and external AI APIs (OpenAI, Anthropic, Bedrock, Mistral)
• Design and implement backend services integrating retrieval systems, embeddings, and vector databases (pgvector, Pinecone)
• Develop OCR and computer vision pipelines using YOLO, AWS Textract, and Comprehend
• Orchestrate AI model calls with proper context management, caching, and prompt engineering

Backend Engineering

• Create Python microservices using FastAPI for ML/AI workloads
• Implement and maintain Java Spring Boot microservices for enterprise integrations
• Build robust REST APIs with comprehensive integration testing
• Develop connectors and adapters for vendor systems and legacy platform integration

MLOps & Production Engineering

• Productionize ML models with containerization (Docker), versioning, and evaluation frameworks
• Implement batch and async processing for scalable AI services
• Set up monitoring, logging, and fallback strategies for production AI systems
• Package and deploy models using AWS services (Lambda, SageMaker, Bedrock, Step Functions)

Product Development

• Prototype and validate AI‑powered features through rapid experimentation
• Evolve successful experiments into scalable, production‑grade systems
• Collaborate with cross‑functional teams to translate product goals into robust AI features
• Build internal tools and dashboards for model evaluation and monitoring

Qualifications, Skills and Key Competencies

Technical Skills

• 3-5 years of software engineering experience with both Java (Spring/Hibernate) and Python
• Strong experience with AI frameworks, particularly LangChain or LlamaIndex
• Hands‑on experience with LLMs and RAG patterns for retrieval‑based systems
• Proficiency with ML workflows using NumPy, Pandas, scikit‑learn, or TensorFlow/Keras
• Experience with both SQL databases (MySQL, PostgreSQL) and NoSQL (MongoDB)
• Strong AWS experience (Lambda, S3, SQS/SNS, KMS, Step Functions)
• Proficiency with Docker, Git, and CI/CD practices
• Experience with message brokers, streaming systems, and microservice patterns

AI/ML Specific Experience

• Practical experience with prompt engineering and LLM optimization
• Familiarity with vector databases and embedding systems
• Experience with OCR pipelines and computer vision applications
• Knowledge of MLOps practices including MLflow, DVC, model versioning

Nice to Have

• Frontend development skills (React/Vue) for building internal tools
• Experience building conversational or agentic AI systems
• Experience with distributed systems and cloud‑native architectures
• Familiarity with evaluation frameworks and A/B testing for AI features

Soft Skills

• Strong product mindset with ability to balance performance, reliability, and cost
• Self‑motivated and adaptable with eagerness to embrace new challenges
• Excellent problem‑solving and analytical thinking abilities
• Strong communication skills in written English and Spanish
• Ability to work effectively in cross‑functional teams

Example Projects You’ll Work On

• Vendor & AI Model Integration: Execute integration projects with external AI providers to automate internal operations and customer‑facing processes
• AI‑Driven Workflow Automation: Implement LLM‑powered decision‑making and document processing pipelines to streamline validation and screening workflows
• Personalization Systems: Build AI features that create personalized experiences for thousands of users across multiple regions
• Legacy System Modernization: Develop adapters and middleware enabling AI‑enhanced services to interoperate with existing systems during migration

What We Offer

• Opportunity to work on cutting‑edge AI/ML technologies in production environments
• Remote‑first work environment with flexible hours
• Collaboration with talented engineers and product teams
• Direct impact on products serving thousands of users
• Continuous learning and professional development opportunities

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!