14 publicaciones de empleo destacadas en developer latam (¡Están contratando!)

AI Developer
Salvo Software —México
- Tiempo completo
- Home Office (Desde casa)
- Azure
- DevOps
- Licenciatura
Postulación rápida
Backend Engineer
Nango —México
- Tiempo completo
- Home Office (Desde casa)
- Experiencia en bases de datos
- JavaScript
9d
Account Executive - LATAM
ElevenLabs —México
- Tiempo completo
- Home Office (Desde casa)
- Experiencia en ventas
- Inglés
Growth Marketing Manager
Pavago —México
- Tiempo completo
- Home Office (Desde casa)
- Administración de personal
- Inglés
- Habilidades de comunicación
Postulación rápida
Sales Development - LATAM
ElevenLabs —México
- Tiempo completo
- Home Office (Desde casa)
- Administración de personal
- Experiencia en ventas
- Inglés
Software Engineer (Django + React Native)
Wingz LatAm —México
- Tiempo completo
- Home Office (Desde casa)
- DevOps
- Experiencia en bases de datos
- Bachillerato
- Vacaciones adicionales o permisos con goce de sueldo
Postulación rápida
Senior Full-Stack Engineer - Supabase (Part-Time)
Workana —México
- Horas extra
- Home Office (Desde casa)
- Administración de personal
- Inglés
- Gestión de productos
Postulación rápida
BDM Ventas TI Servicios Software
People Hackers —Ecatepec, Méx.
- $30,000 a $40,000 por mes
- Tiempo completo
- Trabajo híbrido
- Microsoft Powerpoint
- CRM software
- Microsoft Excel
- Oportunidades de crecimiento
Postulación rápida
2h
Sales Business Manager TI Software
IT People Talent —Nezahualcóyotl, Méx.
- $30,000 a $40,000 por mes
- Tiempo completo
- Trabajo híbrido
- Microsoft Powerpoint
- CRM software
- Microsoft Excel
- Oportunidades de crecimiento
Postulación rápida
2h
Android C C Developer
IT People Talent —Gustavo A. Madero, CDMX
- $30,000 a $35,000 por mes
- Tiempo completo
- Azure
- Oracle
- Experiencia en ventas
- Oportunidades de crecimiento
- Seguro de vida
Postulación rápida
2h
KAM Account Manager IT Software
Reclutamiento IT —Cuauhtémoc, CDMX
- $30,000 a $40,000 por mes
- Tiempo completo
- Trabajo híbrido
- Microsoft Powerpoint
- CRM software
- Microsoft Excel
- Oportunidades de crecimiento
Postulación rápida
2h
Desarrollador Android C C
Reclutamiento IT —Álvaro Obregón, CDMX
- $30,000 a $35,000 por mes
- Tiempo completo
- Azure
- Oracle
- Experiencia en ventas
- Oportunidades de crecimiento
- Seguro de vida
Postulación rápida
2h
Desarrollador Android C C
Reclutamiento IT —Tlalpan, CDMX
- $30,000 a $35,000 por mes
- Tiempo completo
- Azure
- Oracle
- Experiencia en ventas
- Oportunidades de crecimiento
- Seguro de vida
Postulación rápida
2h
Desarrollador Android C C
Reclutamiento IT —Magdalena Contreras, CDMX
- $30,000 a $35,000 por mes
- Tiempo completo
- Azure
- Oracle
- Experiencia en ventas
- Oportunidades de crecimiento
- Seguro de vida
Postulación rápida
2h

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Data Engineer
Bosonit MX —Desde casa
Integrar pipelines con sistemas backend y plataformas analíticas. Colaborar con equipos de backend, DevOps y producto. Bases de datos NoSQL (MongoDB u otros).
$50,000 a $55,000 por mes
Postulación rápida
Backend Engineer
Auction Technology Group —Guadalajara, Jal.
Mentor junior engineers and share knowledge with the broader engineering team. Key Requirements • 5+ years of professional software engineering experience with…

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AI Developer

Salvo Software
México

Postulación rápida

Información del empleo

Tiempo completo

Cualificaciones

TensorFlow
Azure
Derecho
XML
PyTorch
DevOps
Git
Pandas
Docker
Licenciatura
PostgreSQL
Python
MySQL

Descripción completa del empleo

About Salvo Software

Salvo Software is a global firm that provides cost-effective software solutions to guide enterprises and startups through digital transformation. With distributed teams across the US, LATAM, and India, we partner with clients to build high-performance, scalable systems that solve complex technical challenges. Our culture values innovation, ownership, and engineering excellence.

Role Overview

We are seeking a highly skilled AI Developer with a strong backend and machine learning engineering background to design, train, optimize, and deploy LLM models in on-prem and offline environments. This role is deeply technical and hands-on, requiring expertise across Python ML stacks, model optimization, local inference frameworks, RAG (Retrieval-Augmented Generation) architectures, MCP (Model Context Protocol) integrations, and DevOps workflows tailored for offline systems.

You will work closely with our engineering and product teams to build end-to-end LLM pipelines — including data preprocessing, supervised fine-tuning, model quantization, evaluation, RAG pipeline design, and deployment using local or air-gapped infrastructure. If you enjoy working with cutting-edge open-source LLMs, building context-aware AI systems, and designing reliable backend pipelines, this role is for you.

Key Responsibilities

Core LLM Development

Train and fine-tune LLMs using supervised fine-tuning (SFT).
Work with open-source models such as LLaMA, Mistral, Qwen, and similar architectures.
Build LoRA / Q-LoRA pipelines for efficient fine-tuning.
Implement and optimize data preprocessing workflows, including tokenization and long-context handling.
Use and extend Hugging Face Transformers & Datasets for training and inference.
Parse and process structured and semi-structured data, including XML/XSD files.
Implement document parsing solutions for Office formats (python-docx, OpenXML).

RAG & Context-Aware Systems

Design and implement end-to-end Retrieval-Augmented Generation (RAG) pipelines for document-grounded question answering and knowledge retrieval.
Build and maintain vector stores and embedding pipelines using tools such as FAISS, Chroma, Weaviate, or pgvector.
Optimize retrieval strategies including hybrid search, re-ranking, and chunking approaches tailored for domain-specific corpora.
Develop and maintain MCP (Model Context Protocol) server integrations to enable LLMs to interact dynamically with tools, APIs, and external data sources.
Design agentic workflows that leverage MCP to give models structured access to internal systems and context in a controlled, auditable manner.

Offline / On-Prem Model Expertise

Deploy, run, and maintain models fully offline and in air-gapped environments.
Perform model optimization and quantization (GGUF, GPTQ, AWQ, bitsandbytes).
Build and maintain inference systems using frameworks like vLLM, TGI, and Ollama.
Optimize GPU usage (CUDA, cuDNN, VRAM-aware batching).
Maintain local CI/CD pipelines for ML models without cloud dependencies.
Manage local model registries, versioning, and artifacts.
Ensure RAG and MCP components are fully operational in offline and restricted network environments.

Backend & DevOps

Build backend services in Python for ML training and inference workflows.
Work with relational databases (Postgres/MySQL) and vector databases for RAG storage layers.
Use Docker and Git for reliable development and deployment pipelines.
Use Azure DevOps for CI/CD, including local runners when applicable.

Requirements

Technical Skills

Strong experience in Python for backend and ML development.
Expertise with ML frameworks such as PyTorch or TensorFlow, scikit-learn, and pandas.
Solid knowledge of Postgres or MySQL for data storage.
Experience with Docker, Git, and DevOps best practices.
Hands-on expertise with LLM training, fine-tuning, and optimization.
Experience with Hugging Face Transformers & Datasets.
Familiarity with XML/XSD and Office document parsing tools.
Experience deploying models with vLLM, TGI, or Ollama.
Understanding of quantization techniques (GGUF/GPTQ/AWQ).
Experience working with GPU optimization and the CUDA stack.
Ability to build solutions for offline, on-prem, and air-gapped environments.
Hands-on experience designing and implementing RAG pipelines, including embedding models, vector stores (FAISS, Chroma, Weaviate, or pgvector), and retrieval optimization strategies.
Experience building or integrating MCP (Model Context Protocol) servers to connect LLMs with external tools, APIs, and structured data sources.

Nice to Have

Experience building agentic systems using MCP in production or near-production environments.
Familiarity with advanced RAG techniques such as HyDE, re-ranking, or multi-hop retrieval.
Experience managing ML model registries in offline environments.
Familiarity with AWS for hybrid deployments.
Experience with secure environments, restricted networks, or enterprise compliance requirements.

Soft Skills

Strong ownership mindset and problem-solving ability.
Ability to work effectively in distributed teams across time zones.
Clear communication when discussing complex technical topics with both technical and non-technical stakeholders.

Postulación rápida

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developer latam empleos

AI Developer

Backend Engineer

Account Executive - LATAM

Growth Marketing Manager

Sales Development - LATAM

Software Engineer (Django + React Native)

Senior Full-Stack Engineer - Supabase (Part-Time)

BDM Ventas TI Servicios Software

Sales Business Manager TI Software

Android C C Developer

KAM Account Manager IT Software

Desarrollador Android C C

Desarrollador Android C C

Desarrollador Android C C

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