Java Full stack Developer - Chicago, IL

Job Title: Java Full Stack Developer
Location: Chicago, IL
Domain: Finance
Long Term Contract
Looking for W2 Candidates. No C2C

About the Role:
We are seeking a skilled Java Full Stack Developer with hands-on experience in Generative AI (GenAI) tools and Python development to join our fast-growing remote engineering team.
You play a key role in building scalable web applications, integrating AI capabilities, and contributing to end-to-end software delivery from backend APIs to frontend experiences.

Key Responsibilities:

• Design and develop robust backend services using Java, Spring Boot, and RESTful APIs.
• Build responsive and dynamic user interfaces using React.js or Angular.
• Integrate Generative AI models (LLMs, OpenAI, Hugging Face) into existing platforms.
• Write and maintain data processing and ML-related modules in Python.
• Collaborate with cross-functional teams including Data Scientists, DevOps, and Product Managers.
• Implement secure, scalable cloud-native solutions (preferably on AWS, Azure, or Google Cloud Platform).
• Maintain ambitious standards of code quality through unit tests, code reviews, and CI/CD practices.

Required Skills & Experience:

• 5+ years of experience in Java Full Stack Development.
• Proficiency in Spring Boot, Hibernate, Java 11+.
• Strong frontend development using React, Angular, or Vue.js.
• Solid experience with Python, especially in AI/ML-based projects.
• Working knowledge of Generative AI frameworks (e.g., OpenAI API, LangChain, Hugging Face Transformers).
• Understanding of LLM integration, prompt engineering, and vector databases.
• Experience with REST APIs, GraphQL, and WebSocket communication.
• Familiarity with SQL and NoSQL databases (e.g., PostgreSQL, MongoDB).
• Cloud experience with AWS, Azure, or Google Cloud Platform.
• Version control using Git, and CI/CD pipeline experience (Jenkins, GitHub Actions, etc.).

Preferred Qualifications:

• Experience deploying AI models into production.
• Knowledge of Docker, Kubernetes, and microservices architecture.
• Exposure to MLOps or DataOps practices.
• Prior experience working in Agile/Scrum teams.

Best Regards:

Tanuja P
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