Mid-level Java AI Developer

As a Mid-level Java AI Developer at Capco, your primary responsibilities include developing and optimizing Java-based applications that integrate Generative AI models, working with APIs from major platforms, and collaborating with data scientists to fine-tune custom language models. You'll also be expected to implement best practices in microservices architecture and ensure that your solutions are cost-efficient and secure in cloud environments.

To qualify for the Mid-level Java AI Developer role at Capco, you should have a minimum of 2 years of professional Java development experience. Proficiency in Spring Boot, RESTful APIs, and familiarity with LLM APIs and frameworks such as OpenAI API are also essential. Additionally, having experience with Generative AI models and vector databases would be advantageous.

Capco fosters a culture of rapid learning and career advancement for its Mid-level Java AI Developers. With minimal bureaucracy and no internal silos, employees are empowered to take on challenging projects and quickly progress in their careers. Capco values innovative contributions and provides opportunities for employees to expand their expertise and grow within the organization.

As a Mid-level Java AI Developer at Capco, you will be working with various technologies, including Java, Spring Boot, and APIs from Generative AI platforms such as OpenAI and Hugging Face. Additionally, your work will involve utilizing cloud services (AWS, Azure, GCP) and incorporating vector databases into your applications to enhance performance and capabilities.

At Capco, the work environment for a Mid-level Java AI Developer is collaborative, creative, and inclusive. Team members are encouraged to share ideas and work together to provide innovative solutions that drive client success. With a focus on maintaining a positive culture, you will have the opportunity to thrive in an entrepreneurial setting that values everyone’s contributions.

In your response, detail specific projects where you utilized Java, emphasize your familiarity with frameworks like Spring Boot, and discuss how you tackled challenges through your coding expertise.

Share a concise overview of a project where you integrated Generative AI. Discuss the technologies used, your specific role, and the outcomes achieved, highlighting any innovative solutions you provided.

Discuss your techniques for performance optimization, including your understanding of algorithms and data structures. Mention any tools or frameworks you've used to analyze and improve application performance.

Explain your methodologies for incorporating security practices into your development process. You might mention specific security protocols you follow and any experiences addressing security vulnerabilities.

Talk about past collaborative experiences, sharing how you’ve effectively worked in interdisciplinary teams to deliver projects. Highlight communication skills and how you bridged gaps between software and data science.

Provide a brief explanation of microservices architecture, including its benefits like scalability and flexibility. You could reference specific instances when you employed this architecture in your work.

Discuss your understanding of LLM APIs, sharing examples of how you have implemented these APIs in applications. Reference specific tools or platforms utilized in your development.

Mention your proficiency with tools like Git and discuss how you have used version control to manage code changes, facilitate collaboration, and maintain a well-documented development history.

Share your approach to continuous learning, whether through online courses, webinars, or following industry news. Emphasize your commitment to staying at the cutting edge of technology.

In your answer, express enthusiasm for Capco’s innovative work in financial services, highlighting how your skills align with the company’s goals. Mention the collaborative culture as a motivating factor for your application.