Java Gen Ai Engineer

Jobgether; México; Presencial; MXN 900.000 - 1.200.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Flexibilidad de contrato

Colaboración con equipos distribuidos

Oportunidad de trabajar con IA de viga

Descripción de la vacante

Jobgether busca un Ingeniero Gen AI en México para combinar experiencia en Java con desarrollo práctico de IA generativa. El rol implica diseñar soluciones IA orientadas a prioridades del negocio y colaborar con equipos distribuidos para acelerar la adopción de IA.

Se valorará experiencia en interfaces web IA, integración con nubes públicas y pipelines de datos a escala empresarial, manteniendo buenas prácticas de seguridad y rendimiento.

Formación

• Al menos 1 año de experiencia práctica en ingeniería de IA, incl. LLMs, herramientas AI o sistemas aplicados, con fuerte habilidad en Java.
• Experiencia demostrada en construir y desplegar soluciones reales de IA, no solo teoría.
• Conocimientos de tendencias de IA modernas, herramientas, marcos y técnicas de ingeniería generativa.

Responsabilidades

• Diseñar e implementar soluciones impulsadas por IA que se integren con aplicaciones existentes y sistemas empresariales.
• Traducir conceptos de IA generativa y tecnologías emergentes en implementaciones prácticas y escalables.
• Desarrollar soluciones de IA empleando LLMs, herramientas de IA y flujos de trabajo inteligentes.
• Contribuir a flujos de trabajo agenticos y marcos de ingeniería de rendimiento para escalar aplicaciones de IA.
• Colaborar con stakeholders y equipos distribuidos para entregar iniciativas de IA y resolver desafíos técnicos.

Conocimientos

Java

AI ingeniería

Generative AI

Cloud platforms

Herramientas

Open WebUI

AWS

Azure

GCP

Descripción del empleo

Java Gen AI Engineer

Tipo de empleo: Tiempo completo
Ubicación: Mexico

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Java Gen AI Engineer based in Mexico.

This role offers an opportunity to combine strong Java engineering expertise with hands-on Generative AI development. You will design and implement practical, production-ready AI solutions aligned with business and executive priorities. The position focuses on agentic workflows, AI application integration, and performance engineering in an evolving technology landscape. You will collaborate with stakeholders and distributed engineering teams to accelerate AI adoption and expand internal capabilities. The role also provides exposure to cloud platforms, enterprise-scale AI initiatives, data pipelines, and AI-enabled user experiences. Success requires a hands-on mindset, technical curiosity, and the ability to turn emerging AI concepts into reliable solutions. You will have the autonomy to make a meaningful impact while helping shape how AI capabilities are developed and scaled.

Accountabilities

• Design and implement AI-driven solutions that address business and executive priorities while integrating effectively with existing applications and systems.
• Translate Generative AI concepts, emerging technologies, and agentic approaches into practical, scalable, production-ready implementations.
• Develop AI engineering solutions involving LLMs, AI tools, applied AI systems, and intelligent workflows.
• Contribute to agentic workflows and performance engineering frameworks that improve the scalability and effectiveness of AI applications.
• Collaborate with internal stakeholders and distributed or offshore engineering teams to deliver AI initiatives and resolve technical challenges.
• Help identify gaps in AI expertise and contribute to knowledge sharing, technical enablement, and the development of scalable internal capabilities.
• Support AI-enabled web and UI implementations using tools such as Open WebUI or comparable frameworks where appropriate.
• Integrate AI services with cloud environments and existing enterprise applications, leveraging platforms such as AWS, Azure, or GCP.
• Contribute to enterprise-scale AI projects and data pipelines while applying appropriate security and engineering practices.
• Stay current with developments across Generative AI, agentic systems, AI frameworks, and related technologies, identifying opportunities to improve existing solutions.

Requirements

• At least 1 year of hands-on experience in AI engineering, including LLMs, AI tools, or applied AI systems, combined with strong Java engineering capabilities.
• Demonstrated experience building and deploying real-world AI solutions rather than focusing solely on theoretical concepts.
• Strong understanding of modern AI trends, tools, frameworks, and practical Generative AI engineering techniques.
• Experience designing interoperable solutions that integrate AI capabilities with existing applications and enterprise systems.
• Familiarity with cloud platforms such as AWS, Azure, or GCP and experience integrating cloud-based AI services.
• Understanding of enterprise-scale AI projects, data pipelines, and security best practices for AI applications.
• Experience with AI-enabled web interfaces or UI frameworks, such as Open WebUI or similar technologies, is an advantage.
• Experience working with distributed or offshore teams and collaborating effectively across different time zones is preferred.
• Strong communication skills, with the ability to explain technical concepts clearly and collaborate effectively with technical and non-technical stakeholders.
• A proactive, self-driven approach with the ability to work independently, manage priorities, and operate with urgency in a fast-changing environment.
• Genuine enthusiasm for technology and AI, with a continuous-learning mindset and a strong focus on practical execution.

Benefits

• Flexible contract engagement with openness to candidates across global locations.
• Opportunity to work on practical Generative AI and agentic technology initiatives.
• Exposure to enterprise-scale AI adoption, cloud platforms, data pipelines, and AI application development.
• Opportunity to collaborate with distributed engineering teams and internal technology stakeholders.
• High-impact environment where your work can directly contribute to scaling AI capabilities.
• Flexibility and autonomy to operate effectively across time zones and evolving project requirements.
• Opportunity to deepen expertise in emerging AI technologies and modern AI engineering practices.