Sr Java Full Stack Developer(AI)

Job Role: Sr Java Full Stack Developer(AI)

Location: Dallas, TX

Job Description:

Must Have Technical/Functional Skills

• 10+ years of hands-on experience in design and development using Java/SpringBoot Microservices
• Experience in Java, J2EE, SOAP, REST, XML, XSLT, UML, Object Oriented Analysis and Design
• Experience in Spring Boot, Eclipse, GIT, JENKINS, CI/CD, JIRA, JUnit testing
• Experience and exposure in RDBMS like Oracle, SQL Server, MySQL
• Experience and exposure in NoSQL Database like MongoDB, Document DB
• Have strong expertise and hands on experience in UI tech stack like ReactJS with JavaScript, Redux, HTML5 and CSS3 and writing cross-browser compatible code.
• Proficient with CSS-preprocessor e.g. SASS and hands on Experience in CSS frameworks e.g. Bootstrap
• Experience with integrating RESTful services
• Experience in developing responsive UI design to support multiple view port
• Thorough understanding of the responsibilities of the platform, database, API, caching layer, proxies
• Experience working with testing frameworks Jasmine, Karma etc.
• Experience in building scalable application
• Experience in performance tuning of UI application
• Experience in Search Engine Optimization and writing Search Engine Optimized code
• Coordinating with UX designer
• Cloud technology like AWS experience, Kubernetes
• Experience in JIRA and GITHUB.
• Experience in Apache Kafka framework and implementation
• Experience in MuleSoft integration and API platform
• Design and implement Gen AI applications using AWS Bedrock and related AWS services.
• Build secure, scalable, and maintainable AI workflows for enterprise use cases.
• Develop retrieval-augmented generation solutions that use enterprise knowledge sources effectively.
• Manage context windows, memory strategies, prompt composition, and grounding techniques.
• Integrate MCP-based tools and services to extend model capabilities and connect to enterprise systems.
• Collaborate with product owners, architects, data engineers, and security teams.
• Evaluate model outputs for quality, safety, relevance, and factual accuracy.
• Optimize latency, cost, and token usage across AI workloads.
• Create reusable prompts, agent patterns, and orchestration components.
• Support deployment, monitoring, logging, and continuous improvement of Gen AI systems.
• Strong experience with Python or Java.
• Hands-on experience with AWS Bedrock.
• Understanding of foundation models, embeddings, RAG, and vector search.
• Experience with prompt engineering and context management.
• Familiarity with MCP concepts and tool integration patterns.
• Experience with APIs, microservices, and cloud-native architecture.
• Knowledge of enterprise security, privacy, and governance requirements.
• Ability to evaluate model performance and improve response quality.
• Good communication and stakeholder collaboration skills.