Senior NLP-focused Generative AI Engineer

up-labs; Región Centro; A distancia; MXN 600.000 - 900.000; Jornada completa

Descripción de la vacante

Vantora is a dynamic venture studio building AI-powered solutions for enterprise customers. We seek a skilled ML/NLP engineer to design, build, and iterate on agentic workflows and production-grade AI applications.

You will develop Python-based ML pipelines, leverage LangChain or CrewAI, and deploy solutions in Databricks and cloud environments, enabling scalable experimentation and product delivery.

Formación

• Proven experience building production ML models and NLP pipelines.
• Strong Python programming with ML experience.
• Hands-on with LangChain or CrewAI for AI apps.
• Experience with Generative AI patterns in real-world use cases.
• Experience using graph databases like Neo4j for ontologies.
• Knowledge of agentic harnesses, memory management, and context compression.
• Experience developing NLP-focused ML solutions.
• Ability to work in a Databricks-based environment for model development.

Responsabilidades

• Lead end-to-end machine learning initiatives—from problem framing and data exploration through model development, evaluation, and iterative improvement—focused on NLP-heavy applications.
• Develop and maintain Python-based ML pipelines and experimentation workflows to support rapid iteration.
• Build and integrate Generative AI solutions using LangChain and CrewAI, ensuring testability and maintainability.
• Define evaluation criteria and run structured model/LLM evaluations using appropriate frameworks and metrics.
• Use Databricks and cloud provider services to scale data, experiments, and training workflows.

Conocimientos

Python

NLP

ML pipelines

Databricks

LangChain

CrewAI

Generative AI

Neo4j

Agentic systems

Herramientas

LangChain

CrewAI

Neo4j

Databricks

LangSmith

Apache Spark

Descripción del empleo

Vantora is a dynamic venture studio building AI-powered solutions for enterprise customers. We seek a skilled ML/NLP engineer to design, build, and iterate on agentic workflows and production-grade AI applications.

You will develop Python-based ML pipelines, leverage LangChain or CrewAI, and deploy solutions in Databricks and cloud environments, enabling scalable experimentation and product delivery.