5 publicaciones de empleo destacadas en mlops engineer (¡Están contratando!)

AI Engineer - Generative AI & AWS
Workana —México
- Tiempo completo
- Home Office (Desde casa)
- Inglés
- Experiencia en bases de datos
- Desarrollo de software
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Full-Stack AI Engineer
Pavago —México
- Tiempo completo
- Home Office (Desde casa)
- Experiencia en bases de datos
- SQL
- JavaScript
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Senior GenAI Data Engineer (Databricks)
Enroute —México
- Tiempo completo
- Home Office (Desde casa)
- Salesforce
- DevOps
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8d
AI Software Engineer - Remote
Azumo —México
- Tiempo completo
- Home Office (Desde casa)
- Azure
- Informática
- DevOps
- Vacaciones adicionales o permisos con goce de sueldo
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Data Scientist, Applied AI - Remote
Azumo —México
- Tiempo completo
- Home Office (Desde casa)
- Azure
- Informática
- DevOps
- Vacaciones adicionales o permisos con goce de sueldo
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AI Engineer - Generative AI & AWS

Workana -
México

Postulación rápida

Información del empleo

Tiempo completo

Cualificaciones

Derecho
Ingeniería de software
Kubernetes
Plurilingüe
Gestión de servicios de TI
Git
Inglés
Experiencia en bases de datos
Docker
Desarrollo de software
ServiceNow
S3
Experiencia en operaciones bancarias
Python
Gestión de identidades y accesos

Descripción completa del empleo

Client: ICW
Engagement: Contractor
Location: Remote from Latin America
Language: Advanced English required; Spanish required
Schedule: Aligned with U.S. working hours and U.S. holidays

Description

We are looking for a senior AI Engineer with strong hands-on experience in Generative AI, AI Agents, Python, APIs, AWS, and cloud-based engineering practices.

The selected professional will work with ICW, a U.S.-based insurance company specializing in commercial Property & Casualty insurance, including Workers’ Compensation, catastrophe and earthquake coverage, reinsurance, and liability insurance.

This is a fully remote freelance opportunity for a technically strong and autonomous engineer who can contribute to advanced AI initiatives involving LLMs, agentic AI workflows, API integrations, and AWS-based infrastructure.

The ideal candidate is someone with solid engineering foundations, practical experience building AI-powered solutions, and the ability to work with a U.S.-based client in English.

Responsibilities

Design, build, and implement Generative AI solutions using Large Language Models and modern AI tools.
Develop AI Agent workflows and integrations for business use cases.
Build and integrate APIs using Python.
Work with cloud-based infrastructure and AI services on AWS.
Support the development of scalable, reliable, and secure AI applications.
Collaborate with technical teams and stakeholders to understand requirements and deliver solutions.
Participate in technical discussions, internal interviews, and client-facing conversations when needed.
Contribute to continuous integration, deployment, and engineering best practices.
Work with tools and technologies such as Docker, Kubernetes, Git, CI/CD pipelines, and AWS services.
Troubleshoot, optimize, and improve AI-based solutions as they evolve.

Requirements

3+ years of experience in Software Engineering, Cloud Engineering, Machine Learning Engineering, AI Engineering, or similar roles.

At least 2 years of hands-on experience working with Generative AI, LLMs, AI Agents, or related AI solutions.
Strong Python development experience.
Experience building or integrating APIs.
Practical experience with AWS cloud environments.
Experience or strong familiarity with AI Agents and LLM orchestration.
Familiarity with tools such as OpenAI, Claude, Llama, AWS Bedrock, LangChain, LangGraph, CrewAI, AutoGen, or similar technologies.
Experience with RAG architectures and/or vector databases is highly valuable.
Knowledge of CI/CD practices.
Experience with Docker and Kubernetes.
Familiarity with Git and modern software development workflows.
Advanced English and Spanish
Availability to work aligned with U.S. business hours from Latin America

Nice to Have

Experience with AWS Bedrock, SageMaker, Lambda, ECS/EKS, API Gateway, S3, IAM, or CloudWatch.
Experience with LangChain, LangGraph, CrewAI, AutoGen, Open WebUI, or MCP.
Experience with RAG pipelines, vector databases, embeddings, retrieval strategies, and prompt engineering.
Experience deploying AI solutions into production or near-production environments.
Experience with MLOps, monitoring, observability, and AI governance.
Experience in insurance, banking, fintech, healthcare, or other regulated industries.
Experience integrating AI solutions with enterprise systems, CRMs, ITSM tools, ServiceNow, or internal platforms.

Benefits

100% remote opportunity.
Work with a U.S.-based insurance client.
Opportunity to participate in advanced Generative AI and AI Agent initiatives.
Exposure to AWS-based AI and cloud environments.
International, English-speaking work environment.
Opportunity to work on robust, business-critical AI solutions in a regulated industry.

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