Java Gen Ai Engineer

Jobgether; Portugal; Hybrid; EUR 60,000 - 90,000; Full time

Benefits offered by this job

Flexible contract

Global locations

AI project exposure

Distributed teams

Autonomy

Professional growth

Job summary

Jobgether seeks a Java Gen AI Engineer to design and implement production-grade AI solutions. You will work on agentic workflows, AI integration, and performance engineering across cloud platforms.

The role involves collaboration with distributed teams and stakeholders to scale AI capabilities and accelerate adoption. The ideal candidate has hands-on AI engineering experience, solid Java skills, and a proactive, independent work style in a fast-changing environment.

Qualifications

• Hands-on AI engineering experience with LLMs and applied AI systems.
• Strong Java development background with production-grade delivery experience.
• Familiarity with cloud platforms and integrating AI services into enterprise apps.
• Experience building interoperable AI-enabled web interfaces is a plus.

Responsibilities

• Design and implement AI-driven solutions aligned with business priorities.
• Translate generative AI concepts into scalable, production-ready implementations.
• Develop AI engineering solutions with LLMs, AI tools, and workflows.
• Contribute to agentic workflows and performance engineering frameworks.
• Collaborate with distributed/offshore teams to deliver AI initiatives.

Skills

Java

Gen AI

LLMs

AI Tools

Cloud integration

Tools

Open WebUI

AWS

Azure

GCP

Job description

Java Gen AI Engineer

Empresa : Jobgether Tipo de Emprego : Periodo Integral Portugal

This role offers an opportunity to combine strong Java engineering expertise with hands-on Generative AI development. It enables you to design & implement 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.