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.