Senior Java Full Stack Developer - Agentic AI System

Description :

We are seeking a highly skilled Senior Software Engineer with deep expertise in Java Full Stack development and Agentic AI systems to design, build, and scale intelligent enterprise applications. The ideal candidate will have strong experience in building autonomous AI agents, LLM orchestration frameworks, and cloud-native architectures to deliver next-generation AI-powered solutions.

- Design and develop production-grade Agentic AI systems using Java and modern AI/ML frameworks

- Build autonomous AI agents capable of reasoning, planning, and executing complex multi-step tasks

- Architect and implement LLM orchestration pipelines (LangChain, LlamaIndex, Semantic Kernel)

- Develop full-stack applications with Java/Spring Boot backend and React/Angular/Vue frontend

- Design RESTful APIs and GraphQL services for AI agent integration

- Implement RAG (Retrieval-Augmented Generation) systems with vector databases (Pinecone, Weaviate, Milvus)

- Build and optimize prompt engineering frameworks and agent memory systems

- Deploy and scale AI applications on cloud platforms (AWS, Azure, GCP) using Kubernetes

- Integrate with LLM providers (OpenAI, Anthropic, Azure OpenAI, open-source models)

- Mentor junior engineers and drive technical excellence across the team

- Collaborate with cross-functional teams to define AI product strategy and roadmap

Agentic AI & LLM Systems - MANDATORY :

- Deep expertise in building Agentic AI systems autonomous agents capable of tool use, planning, reflection, and multi-step reasoning

- Hands-on experience with LLM orchestration frameworks (LangChain, LlamaIndex, AutoGen, CrewAI) for building complex agent workflows

- Strong understanding of RAG architectures, vector embeddings, semantic search, and knowledge retrieval systems for grounding AI responses

- Experience with prompt engineering, chain-of-thought reasoning, and agent memory/context management

patterns

Java Full Stack Development :

- 7+ years of professional Java development experience (Java 11/17/21)

- Expert-level knowledge of Spring Boot, Spring Cloud, Spring Security

- Experience with microservices architecture, event-driven systems, and distributed computing

- Proficiency in frontend technologies React, Angular, or Vue.js with TypeScript

Core Technical Skills :

- Backend : Spring Boot, Hibernate/JPA, Maven/Gradle

- Frontend : React/Angular/Vue, TypeScript, HTML5/CSS3

- Databases : PostgreSQL, MongoDB, Redis, Elasticsearch

- APIs : RESTful APIs, GraphQL, gRPC, WebSockets

Cloud & DevOps :

- Strong experience with AWS, Azure, or GCP cloud services

- Kubernetes, Docker, Terraform, CI/CD pipelines (Jenkins, GitHub Actions)

- Experience with serverless architectures (Lambda, Azure Functions)

AI/ML Integration :

- Integration with OpenAI, Anthropic Claude, Azure OpenAI, and open-source LLMs (Llama, Mistral)

- Vector databases Pinecone, Weaviate, Milvus, Chroma, or pgvector

- Experience with embedding models and semantic similarity search

- Python proficiency for AI/ML prototyping and data processing

- Experience with Model Context Protocol (MCP) for agent tool integration

- Knowledge of AI agent evaluation frameworks and benchmarking

- Experience with fine-tuning LLMs and RLHF techniques

- Familiarity with MLOps platforms (MLflow, Kubeflow, SageMaker)

- Graph databases (Neo4j) for knowledge graphs

- Apache Kafka, RabbitMQ for event streaming

- Observability tools OpenTelemetry, Prometheus, Grafana

- Experience with real-time AI applications and streaming inference

- Strong system design and architectural thinking

- Excellent communication skills with ability to explain complex AI concepts to stakeholders

- Leadership mindset with experience mentoring and guiding engineering teams

- Proactive problem-solving and ownership of end-to-end delivery

- Ability to thrive in ambiguous environments and drive clarity