Java Gen AI Engineer

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.