Full Stack Developer (JAVA +Springboot + Angular + AI)

Role -
Full Stack Developer (JAVA +Springboot + Angular + AI)

Role Descriptions: Key ResponsibilitiesDesign| develop| and maintain highperformance backend services using Java (17+)|
Spring Boot| and
Microservices architecture.Build and expose RESTful and eventdriven APIs supporting enterprisescale applications.Integrate
Generative AI / LLM capabilities (e.g.| text generation| summarization| Q&A| classification) into backend workflows.Design| test| and optimize prompts and prompt orchestration strategies to ensure accuracy| determinism| and performance.Develop AIaware backend components such as:Prompt templates and prompt pipelinesRetrievalAugmented Generation (RAG) servicesAI inference orchestration layersImplement secure API integrations with AI platforms and internal data sources| ensuring compliance with enterprise security standards.Apply prompt versioning| evaluation| and monitoring techniques to improve AI output quality over time.Ensure nonfunctional requirements: scalability| resiliency| performance| and observability.Contribute to
CI/CD pipelines| containerization| and cloudnative deployments.Participate in code reviews| architecture discussions| and technical design decisions.Support production systems and troubleshoot complex backend or AIintegration issues.Required Technical SkillsCore Backend Engineering5+ years of strong handson experience in Java backend development.Expertise in Java 11/17+| Spring Boot| Spring MVC| Spring Security.Solid experience in Microservices| REST APIs| and API design (OpenAPI/Swagger).Experience with containers and cloud platforms (Docker| Kubernetes| OpenShift|
Azure/AWS).Strong knowledge of SQL and NoSQL databases (e.g.| DB2| PostgreSQL| MongoDB).Experience in CI/CD| DevOps practices| and automated testing.AI & Prompt EngineeringHandson experience integrating
Large Language Models (LLMs) into backend systems.Strong understanding of prompt engineering techniques| including:Zeroshot| fewshot| and chainofthought promptingPrompt templates and dynamic prompt generationGuardrails| validation| and hallucination reductionExperience building RAGbased solutions using vector stores and embeddings.Familiarity with AI orchestration frameworks or SDKs ( enterprise or opensource ).Ability to evaluate prompt and model responses for quality| bias| and consistency.Security & ComplianceExperience implementing
OAuth2.0|
JWT| SSL/TLS| and secure API patterns.Awareness of data privacy| PII handling| and AI governance in regulated environments (
BFSI preferred).