Java Backend + AI Agent Developer

Jade Global; Hyderabad; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

A leading technology company is seeking a Java Backend + AI Agent Developer in Hyderabad to develop and optimize high-performance backend applications. Ideal candidates will have 5-8 years of experience in Core Java and Spring Boot, and practical experience in AI pipelines. You will build robust microservices and integrate LLMs into systems, all in a collaborative environment. This position offers innovative projects in an exciting tech landscape.

Qualifications

• 5-8 years of experience in Core Java, concurrency, multithreading, and performance tuning.
• Strong expertise in Spring Boot, REST APIs, and microservices architecture.
• Practical experience building AI agent pipelines.
• Hands-on experience with OpenAI API, LangChain, or similar frameworks.

Responsibilities

• Develop, optimize, and maintain high-performance backend applications using Java.
• Build robust microservices using Spring Boot / Spring Cloud.
• Integrate leading LLMs into Java-based systems.
• Build workflows and pipelines for prompt engineering.

Skills

Core Java

Concurrency

Spring Boot

REST APIs

Microservices architecture

SQL/NoSQL databases

LLMs

Prompt engineering

OpenAI API

Cloud ecosystems

Education

Bachelor’s or Master’s degree in Computer Science

Tools

Docker

Kubernetes

Job description

Join to apply for the Java Backend + AI Agent Developer role at Jade Global.

Posted 3 days ago. Be among the first 25 applicants.

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, and 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), and dynamic reasoning with 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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