Mid-level Java AI Developer - job 2 of 3

As a Mid-level Java AI Developer at Capco, a solid foundation in Java development is crucial, with at least 2 years of professional experience. You should be proficient in Spring Boot, have experience with RESTful APIs, and be knowledgeable in microservices architecture. Familiarity with Generative AI models and associated APIs such as OpenAI and Hugging Face will set you apart, along with a passion for AI innovation and problem-solving skills.

In your role as a Mid-level Java AI Developer at Capco, you'll develop and optimize applications that integrate cutting-edge Generative AI technologies. Your responsibilities include building microservices, collaborating with data scientists to deploy language models, and optimizing solutions for performance and cost-efficiency. Additionally, you'll be expected to implement prompt engineering and stay updated on industry trends.

A successful Mid-level Java AI Developer at Capco should be familiar with a range of technologies including Java, Spring Boot, RESTful APIs, and microservices architecture. Knowledge of Generative AI frameworks like GPT, LLaMA, and vector databases such as Pinecone is also advantageous, as these technologies are central to the development of AI-integrated applications.

At Capco, the work culture is dynamic, collaborative, and inclusive. As a Mid-level Java AI Developer, you’ll be part of a team that values innovation and creativity. We encourage our employees to take on challenges and foster professional growth, creating an environment where you can thrive and contribute significantly to impactful projects.

Capco offers fantastic career growth opportunities for a Mid-level Java AI Developer. With an entrepreneurial spirit and minimal bureaucracy, you’ll have the chance to learn rapidly, take on demanding projects, and have visibility into advancement opportunities. We believe in recognizing talent and promoting from within, allowing you to shape your career trajectory.

To effectively answer this question, detail specific projects where you've leveraged Java to create AI applications. Discuss the technologies you used, the challenges you faced, and the solutions you implemented, emphasizing your problem-solving skills and passion for AI innovation.

When answering this question, highlight your understanding of microservices architecture. Discuss your process, from identifying functionalities to designing scalable microservices, ensuring they can handle GenAI requirements. Mention any frameworks or tools you've used, like Spring Boot, for this purpose.

In your response, focus on any specific Generative AI models you've integrated into Java applications. Share details about the APIs you used, the functionalities added, and the impact on user experience, showcasing your experience with AI technologies and best practices.

Provide a compelling narrative about a challenging project, detailing what made it difficult and how you overcame those challenges. Emphasize your technical skills, teamwork, and any innovative solutions you introduced, demonstrating your capability and adaptability as a developer.

Discuss your understanding of best practices in application security, such as employing secure coding techniques and conducting regular performance tests. Provide concrete examples of how you've optimized performance in past projects, especially in cloud environments like AWS or Azure.

Mention specific strategies like attending workshops, following industry leaders, participating in online courses, or engaging with developer communities. Highlight your proactive approach to learning and how you apply new knowledge to your work at Capco.

In your response, provide specific examples of projects where you've developed or consumed RESTful APIs, detailing your approach and any challenges you faced. Highlight any enhancements you made that improved application functionality or user experience.

Discuss critical factors such as model selection, performance optimization, cost-efficiency, and data privacy. Share your insights into the nuances of integrating LLMs based on your experience and how these considerations can affect overall application success.

Outline your approach to collaboration, including communication strategies and tools you’ve used. Share experiences where effective teamwork led to successful project outcomes, reflecting your ability to work in a multidisciplinary environment.

Tailor your response to reflect your alignment with Capco’s mission, its innovative projects, and its collaborative culture. Share what excites you about contributing to the financial services industry and how you see yourself growing within the company.