Job Title: Java Full Stack Developer
Location: Dallas, TX
Domain: Financial Services
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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