Java Full Stack Engineer Offshore

3 days ago

Gurgaon, Haryana, India Bayone Solutions Full time

About the Role

We are looking for an experienced Java Full Stack Developer with hands-on exposure to Agentic AI frameworks, LLM-powered workflows, and intelligent automation . In this role, you will design and develop scalable applications that integrate traditional enterprise systems with next-generation AI agents, enabling autonomous decision-making, workflow automation, and intelligent user interactions.

Key Responsibilities

  • Design, develop, and maintain full-stack applications using Java , Spring Boot , and modern front-end frameworks such as React , Angular , or Vue .
  • Build and integrate agentic AI workflows using tools like LangChain, LlamaIndex, RAG pipelines, or similar AI orchestration frameworks.
  • Develop reusable APIs and microservices to support AI-driven automation and event-based systems.
  • Implement secure and efficient communication between AI agents and backend systems.
  • Optimize application performance, scalability, and robustness in cloud or hybrid environments.
  • Integrate third-party APIs, vector databases, embeddings, and LLM inference endpoints.
  • Collaborate closely with product, data, and AI engineering teams to translate business requirements into technical solutions.
  • Ensure code quality through unit testing, integration testing, and CI/CD best practices.
  • Troubleshoot and resolve issues across the full stack including front-end, backend, databases, and AI components.
  • Stay updated with emerging trends in Generative AI , agent frameworks , and full-stack engineering .

Required Skills & Experience

  • 4-10 years of experience as a Java Full Stack Developer.
  • Strong backend expertise in Java, Spring Boot, REST APIs, Microservices Architecture .
  • Proficiency in front-end technologies: JavaScript/TypeScript , React , Angular , or Vue .
  • Experience building or integrating with LLMs , RAG systems , agentic workflows , or AI-enabled platforms.
  • Familiarity with vector databases (e.g., Pinecone, Chroma, Weaviate) and embeddings.
  • Good understanding of cloud platforms such as AWS, Azure, or GCP.
  • Hands-on experience with Git, Docker, CI/CD pipelines, and modern DevOps practices.
  • Strong problem-solving skills and ability to work in a fast-paced environment.

Preferred Qualifications

  • Experience with LangChain, LlamaIndex, OpenAI, or Anthropic APIs.
  • Knowledge of event-driven architecture, Kafka, or similar technologies.
  • Exposure to Kubernetes or container orchestration tools.
  • Understanding of prompt engineering, fine-tuning, or model integration.
  • Prior experience in intelligent automation or AI-agent-based systems.

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