20 publicaciones de empleo destacadas de product design engineer en desde casa (¡Están contratando!)

Senior AI Systems Engineer - Part-time
Bloom Digitals —Desde casa
- $17,000 por mes
- Medio tiempo
- Home Office (Desde casa)
- Azure
- Administración de personal
- Análisis de datos
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Google —Desde casa
- Home Office (Desde casa)
- Inglés
- Licenciatura
- Sin título de educación superior
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Revolut —Desde casa
- Home Office (Desde casa)
- Informática
- Maestría
- Licenciatura
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AI Engineer (LLMs, ML Pipelines, Python)
Veloz IT —Desde casa
- $55,000 a $90,000 por mes
- Tiempo completo
- Home Office (Desde casa)
- Azure
- Experiencia en bases de datos
- Python
Postulación rápida
SENIOR PRODUCT DESIGNER
Indigo Slate —Desde casa
- Home Office (Desde casa)
- Liderazgo
PRINCIPAL PRODUCT DESIGNER
Indigo Slate —Desde casa
- Home Office (Desde casa)
- Administración de personal
- Gestión de productos
- Liderazgo
Mid-Level AI Engineer
AspenView Technology Partners —Desde casa
- Home Office (Desde casa)
- Inglés
- Python
Postulación rápida
Staff Product Launch Engineer
Rivian —Desde casa
- Tiempo completo
- Home Office (Desde casa)
- Español
- Ingeniería
- Inglés
Python Developer
REMOTE TECH SOLUTIONS SL —Desde casa
- $867,500 a $1,389,000 por año
- Tiempo completo
- Home Office (Desde casa)
- DevOps
- Inglés
- Desarrollo de software
Postulación rápida
Product Owner - Hiring Sprint
Revolut —Desde casa
- Home Office (Desde casa)
- Administración de personal
- Licenciatura
- Habilidades de comunicación
Principal Software Engineer
Capa —Desde casa
- Tiempo completo
- Home Office (Desde casa)
- Informática
- Maestría
- Experiencia en bases de datos
Postulación rápida
10d
Java engineer
NET2SOURCE INC GLOBAL —Desde casa
- Hasta $80,000 por mes
- Tiempo completo
- Home Office (Desde casa)
- Informática
- Inglés
- Java
Postulación rápida
4d
Software Engineer
Infios —Desde casa
- Tiempo completo
- Home Office (Desde casa)
- Azure
- Informática
- DevOps
11d
Senior Developer / Architect
Candid Maven —Desde casa
- $70,000 a $100,000 por mes
- Tiempo completo
- Home Office (Desde casa)
- Inglés
- API
- Liderazgo
Postulación rápida
6d
Solution Architect
EPAM Systems, Inc. —Desde casa
- Home Office (Desde casa)
- Azure
- Oratoria
- Inglés
- Vacaciones adicionales o permisos con goce de sueldo
4d
AI Engineer Fellowship - Mexico
LunarTech —Desde casa
- Tiempo completo
- Home Office (Desde casa)
- Azure
- DevOps
- Python
Postulación rápida
Machine Learning Engineer / Data Scientist
Fusemachines —Desde casa
- Tiempo completo
- Home Office (Desde casa)
- Azure
- Análisis de datos
- SQL
Senior Product Manager (Remote)
Trivelta —Desde casa
- Home Office (Desde casa)
- Inglés
Postulación rápida
Senior Backend Engineer (AI-Assisted)
GOODS & SERVICES —Desde casa
- Home Office (Desde casa)
- Experiencia en bases de datos
- JavaScript
11d
AI Application Engineer
RouteGenie —Desde casa
- Tiempo completo
- Trabajo híbrido
- Inglés
- Experiencia en bases de datos
- Python
Postulación rápida
6d

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Senior AI Systems Engineer - Part-time

Bloom Digitals -
Desde casa

Postulación rápida

Información del empleo

Medio tiempo
$17,000 por mes
Hace 9 días

Cualificaciones

Azure
Administración de personal
Derecho
Análisis de datos
Inglés
Google Cloud Platform
Experiencia en bases de datos
SQL
Python

Descripción completa del empleo

About the Role

We are seeking a Senior AI Systems Engineer to design, improve, and scale the next generation of our AI-powered question-generation architecture.

This role is not focused on training large language models from scratch. Instead, the focus is on building reliable AI-driven systems that combine sports data, educational content, validation logic, quality controls, and measurable improvement processes to generate high-quality learning experiences at scale. Specifically, a key aspect of this role involves transforming sports data and events into educational learning experiences, which is one of the most unique aspects of STEM Replay

The successful candidate will work closely with Product, Curriculum, Design, and Engineering to improve the reliability, consistency, scalability, and quality of STEM Replay's AI-driven content generation systems.

Success in this role requires a combination of AI systems engineering, sports data expertise, evaluation frameworks, product thinking, operational discipline, and strong ownership.

Key Responsibilities

Managing and optimizing sports data intelligence.
Developing and maintaining educational content frameworks.
Implementing strict validation and safety guardrails.
Overseeing comprehensive quality measurement.
Creating and executing automated testing.
Driving and refining continuous improvement processes.
QA, Evaluation & Benchmarking: Explicitly owning the quality, evaluation, benchmarking, and continuous improvement framework of the AI generation system.
Cross-Functional Collaboration.
End-to-End Ownership: Taking clear, end-to-end ownership of your work, going beyond a general "startup mindset" to ensure successful delivery.
Workflow & Documentation: Operating within Agile/Kanban workflows and maintaining lightweight documentation and visibility as part of the normal delivery process.

Key Requirements

C1 English proficiency.
+5 years of experience working with Python and REST APIs, with specific expertise in integrating AI/LLM APIs (e.g., OpenAI, Anthropic) and structured data processing.
+5 years of experience in Data Analysis, with a strong preference for SQL.
+3 years of hands-on experience designing, building, and maintaining AI Systems (specifically AI/LLM).
+2 years of specialized experience in Sports Data & Analytics.

Desired Skills

Technical Skills: Experience with LLM orchestration frameworks (e.g., LangChain, LlamaIndex), familiarity with vector databases, and knowledge of cloud environments (AWS, GCP, or Azure).
Soft Skills: Strong analytical problem-solving abilities, independent time-management skills, clear cross-functional communication, and a genuine passion for the sports technology industry.

Working Conditions

Ecosystem: 100% Remote position
Job schedule: Monday to Friday from 09:00 to 13:00 PST

Benefits

Monthly salary: $17,000 MXN
Health Insurance
Christmas bonus (Aguinaldo)
Mental health support
Up to 3 days of sick leave with full pay
Vacation bonus equivalent to 25% of the corresponding vacation days
Professional Growth & Upskilling Opportunity

Why Join Us?

Join a forward-thinking team operating at the cutting edge of artificial intelligence and sports analytics. We offer a dynamic, focused environment where your expertise in LLMs and data intelligence will directly impact our core products. Enjoy a consistent part-time schedule that offers great work-life balance while allowing you to tackle complex, high-impact technical challenges in the exciting world of sports data.

Job Type: Part-time

Pay: $17,000.00 per month

Experience:

Python and REST APIs: 5 years (Required)
Data Analysis: 5 years (Required)
designing, building, and maintaining AI Systems : 3 years (Required)
Sports Data & Analytic: 2 years (Required)

Language:

English (Required)

Work Location: Remote

Postulación rápida

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