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Develop and enhance scalable full-stack enterprise applications using Java and modern frontend frameworks. Build backend and frontend components, integrate AI services and APIs, implement RAG features, and use AI-assisted development tools for coding, testing, debugging, and documentation. Collaborate with architects and AI specialists while following software engineering, SDLC, agile, quality, and CI/CD practices.

Develop and enhance scalable enterprise full-stack applications using Java and modern frameworks. Build front-end and back-end components, integrate AI services and APIs, implement RAG features, and use AI-assisted development tools for coding, testing, debugging, and documentation. Collaborate with architects and AI specialists while applying SDLC, agile, cloud-native, API, database, and CI/CD practices. Deliver high-quality solutions with at least 7.5 years of Java full-stack development experience.

Develop custom Java full-stack software and agentic AI applications. Build LLM agents, prompts, memory, evaluation loops, RAG pipelines, embeddings, vector database integrations, API connections, observability, guardrails, and CI/CD pipelines. Write clean, tested code, integrate enterprise systems and event streams, implement safety testing, rapidly prototype solutions, demonstrate results, and communicate technical trade-offs to stakeholders.

Develop and enhance scalable full-stack enterprise applications using Java and modern front-end frameworks. Use AI copilots, LLM-based coding assistants, and pre-built AI services to accelerate coding, testing, debugging, documentation, and integration. Build REST or GraphQL APIs, implement relevant RAG features, and follow enterprise SDLC, cloud-native, and CI/CD practices while collaborating with architects and AI specialists.

Develop and enhance scalable full-stack enterprise applications using Java and modern front-end frameworks. Use AgentAI copilots and LLM-based tools for coding, debugging, testing, documentation, and integration. Build AI-enabled features using pre-built services, APIs, and RAG where applicable. Collaborate with architects and AI specialists while applying SDLC, agile, cloud-native, CI/CD, and software engineering best practices.

Build agentic AI applications using LLM tooling, RAG pipelines, vector search, AI APIs, enterprise integrations, evaluation loops, and safety guardrails. Develop clean, testable code, CI/CD pipelines, observability, and robust error handling. Rapidly prototype solutions, demonstrate results, and collaborate with stakeholders. The role requires at least 7.5 years of Java full stack development experience, strong software engineering fundamentals, hands-on AI experience, and a 15-year full-time education qualification.

Develop custom Java full-stack software and agentic AI applications. Build LLM agents, RAG pipelines, vector-search services, API integrations, evaluation loops, testing, CI/CD pipelines, observability, and safety guardrails. Prototype rapidly, evolve solutions into production systems, and communicate technical tradeoffs with stakeholders. The role requires strong software engineering fundamentals, hands-on LLM and AI integration experience, an AI project portfolio, and at least 7.5 years of Java full-stack development experience.

Build custom Java full-stack and agentic AI applications using LLM tooling, RAG pipelines, vector databases, AI APIs, enterprise integrations, and evaluation frameworks. Develop clean, testable code, CI/CD pipelines, observability, safety guardrails, and automated tests. Rapidly prototype solutions, demonstrate results, and communicate tradeoffs with stakeholders. The role requires at least 7.5 years of Java full-stack development experience and 15 years of full-time education.

Develop and enhance scalable full-stack enterprise applications using Java and modern frontend frameworks. Build backend and frontend components, integrate REST or GraphQL APIs and pre-built AI services, and implement RAG features where relevant. Use AI-assisted coding, debugging, testing, and documentation tools while following engineering, SDLC, agile, quality, and CI/CD best practices. Collaborate with architects and AI specialists to deliver high-performing solutions.

Develop and enhance full-stack enterprise applications using Java and modern frameworks. Build front-end and back-end components, integrate AI services and APIs, implement RAG features, and use AI-assisted tools for coding, testing, debugging, and documentation. Deliver scalable, high-performing software through agile practices, SDLC best practices, cloud-native development, and CI/CD. Collaborate with architects and AI specialists to ensure quality and effective integration.