Mid-level Java AI Developer - job 1 of 3

As a Mid-level Java AI Developer at Capco, your main responsibilities will involve developing Java-based applications integrated with Generative AI models, collaborating with AI engineers to deploy language models, and building microservices and APIs capable of serving GenAI functionalities. You’ll also optimize solutions for performance, cost-efficiency, and security within cloud environments.

To qualify for the Mid-level Java AI Developer position at Capco, you should have at least 2 years of professional experience in Java development, with a strong proficiency in Spring Boot, RESTful APIs, and microservices architecture. Familiarity with LLM APIs and frameworks, as well as experience integrating Generative AI models into applications, is highly desired.

In this role, a Mid-level Java AI Developer at Capco will work with various tools and technologies including Java, Spring Boot, RESTful APIs, microservices architecture, and popular GenAI platforms like OpenAI and Hugging Face, as well as vector databases such as Pinecone and Weaviate.

Capco promotes a creative, collaborative, and inclusive work culture. As a Mid-level Java AI Developer, you'll find opportunities for rapid learning and growth with a team that values innovation. There's minimal bureaucracy, allowing for more direct involvement in projects and opportunities to shape your career.

While the position of Mid-level Java AI Developer at Capco is based in New York, it follows a hybrid model where employees are expected to be present in the office 3 days per week. This allows for collaboration and connection with your team while also offering some flexibility.

When discussing your Java development experience, highlight specific projects where you developed and optimized applications. Mention your familiarity with frameworks like Spring Boot and any instances where you integrated AI functionalities into Java applications.

Explain your method of designing microservices, discussing principles like separation of concerns and how you've implemented RESTful principles. Share experiences where you focused on scalability and performance, ensuring your microservices can handle increased loads.

Discuss specific Generative AI models you have worked with, like GPT or others integrated into applications. Provide examples of how you employed them, including any challenges faced and how you optimized these solutions for performance.

Illustrate a scenario where you worked closely with data scientists or AI engineers. Focus on how you communicated technical concepts and worked together in deploying language models into production.

Share your approach to performance optimization which may include profiling applications, reducing response times, and ensuring efficient use of resources. When discussing security, mention best practices like authentication, data encryption, and keeping dependencies up to date.

Discuss your experience with various APIs from these platforms. Explain how you’ve used them in projects, focusing on specific functionalities you implemented and the outcomes achieved.

Share your enthusiasm for AI by discussing trends you're passionate about, any cutting-edge projects you've been involved in, and how you see AI transforming industries, particularly in finance.

Provide an example of a difficult project that you worked on. Illustrate the challenges faced, your problem-solving methods, and the ultimate outcome, showcasing your technical competence and resilience.

Articulate your career goals, whether it’s advancing into leadership roles, specializing in a particular technology, or contributing to innovative projects. Highlight your eagerness to grow as AI continues to evolve.

Express your passion for the financial services sector and how Capco's commitment to innovation aligns with your values. Mention specific aspects of their culture and how you see yourself contributing to their mission.