Java Backend + AI Agent Developer

3 days ago

Pune, Maharashtra, India Jade Global Full time
Java Backend + AI Agent Developer1Key ResponsibilitiesJava 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.

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