Java Backend + AI Agent Developer

Java Backend + AI Agent Developer1

Key Responsibilities

Java Backend Engineering

• Develop, optimize, and maintain high-performance backend applications using Java (8/11/17).

• Build robust microservices using Spring Boot / Spring Cloud.

• Design scalable RESTful APIs and event-driven architectures.

• Implement secure, highly available, low-latency backend systems.

• Work with both relational and NoSQL databases such as MySQL, PostgreSQL, MongoDB, Redis.

Agentic AI Development

• Build and integrate AI agents using frameworks such as:

  • LangChain / LangGraph

  • OpenAI Assistants / ReAct / AutoGen

  • HuggingFace, LlamaIndex, or custom agentic frameworks

• Develop advanced agentic workflows including:

  • Tool calling and function calling

  • Task planning and retrieval-augmented generation (RAG)

  • Dynamic reasoning and multi-agent collaboration

• Integrate leading LLMs (GPT, Claude, Llama, Mistral, etc.) into Java-based systems.

• Build workflows and pipelines for prompt engineering, model orchestration, and inference.

Required Skills

• 5–8 years of experience in Core Java, concurrency, multithreading, and performance tuning.

• Strong expertise in Spring Boot, REST APIs, and microservices architecture.

• Proficiency in SQL/NoSQL databases and integrating real-time data streams.

• Solid understanding of LLMs, RAG, embeddings, and vector databases.

• Practical experience building AI agent pipelines.

• Hands-on experience with OpenAI API, LangChain, or similar frameworks.

• Knowledge of prompt engineering and model fine-tuning techniques.

• Demonstrated experience deploying AI-driven or agentic systems in production.

• Familiarity with vector databases such as Pinecone, FAISS, Milvus, Weaviate.

• Experience with cloud ecosystems (AWS, Azure, GCP) and containerization tools (Docker, Kubernetes).

Desirable Qualifications

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field.

• Working knowledge of Python for interacting with core AI/ML services or models.

• Experience with modern vector databases such as Weaviate, Pinecone, Chroma, etc.