4 publicaciones de empleo destacadas en full stack engineer (backend) (¡Están contratando!)

AI Application Engineer (Part-Time)
Workana —México
- Tiempo completo
- Home Office (Desde casa)
- Inglés
- Experiencia en bases de datos
- Python
Postulación rápida
Full Stack Developer
Enroute —México
- Tiempo completo
- Home Office (Desde casa)
- Oracle
- Inglés
- Experiencia en bases de datos
- Seguro de vida
Postulación rápida
8h
FullStack Developer - AI Solutions
Citi Value in Real Time —México
- Tiempo completo
- Home Office (Desde casa)
- Azure
- DevOps
- Python
Postulación rápida
3d
Software Engineer (Mid‑Level)
Capgemini Sogeti —Aguascalientes, Ags.
- Bilingüe
- Azure
- Inglés
3h

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AI Application Engineer (Part-Time)

Workana -
México

Postulación rápida

Información del empleo

Tiempo completo

Cualificaciones

Derecho
Ingeniería de software
Kubernetes
Git
Inglés
Google Cloud Platform
Herramientas de automatización
Experiencia en bases de datos
Docker
Python

Descripción completa del empleo

Client: medxprts.ai
Location: Remote
Type: Part-time, with potential to transition to Full-time
Schedule: U.S. timezone overlap required

Description

medxprts.ai is building an AI-powered platform for the legal and healthcare space, using LLMs, agentic workflows, and automation to create production-grade applications.

We are looking for a hands-on AI Application Engineer who can help build, improve, and operate AI-driven products end to end. This role is ideal for someone who is AI-native, comfortable moving fast with tools like Claude Code and Cursor, and able to work closely with engineering teams to ship real features into production.

Responsibilities

Build and maintain AI-powered applications, workflows, and automations.
Work with LLMs, AI agents, RAG pipelines, and agentic frameworks.
Develop full-stack features, including backend services, APIs, and frontend interfaces.
Use AI-assisted development tools such as Claude Code and Cursor to prototype and ship quickly.
Support production systems by troubleshooting issues, improving reliability, and contributing to operational workflows.
Collaborate with the CTO and engineering team across different time zones.
Participate in PRs, releases, technical discussions, and continuous product improvements.
Help improve the AI pipeline, including document processing, quality control, and automation logic.

Requirements

Hands-on software engineering experience, ideally with Python and modern web applications.

Strong familiarity with AI-assisted development tools such as Claude Code, Cursor, or similar.
Experience building or integrating LLM-based applications, AI agents, automations, or RAG systems.
Understanding of production software workflows: Git, PRs, debugging, deployment, and maintainable code.
Familiarity with cloud environments, especially AWS; GCP experience is a plus.
Experience with APIs, databases, and backend/frontend development.
Experience in healthcare, legaltech, HIPAA, or other regulated/data-sensitive environments.
Ability to work independently, learn quickly, and follow technical direction.
Availability to overlap with U.S. working hours.
Good English communication skills and a hands-on, execution-oriented mindset.

Nice to Have

Experience with n8n or similar workflow automation tools.
Experience with MCP, vector databases, or advanced RAG pipelines.
Knowledge of Docker, CI/CD, Kubernetes/EKS, or serverless infrastructure.
Portfolio, GitHub, or examples of shipped AI/agentic applications.

Benefits

Fully remote role.
Opportunity to work on real AI products in the legal and healthcare domain.
High ownership and autonomy.
Performance-based incentives and outcome-driven bonuses.
Potential to grow into a long-term, full-time role.

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