Java Backend + AI Agent Developer

Jade Global; Pune District; On-site; INR 1,000,000 - 1,500,000; Full time

Job summary

A leading IT consulting firm is seeking a Java Backend + AI Agent Developer to create and maintain backend applications using Java and integrate AI agents into their systems. The ideal candidate will have 5-8 years of experience with core Java, Spring Boot, and AI pipelines, along with demonstrated ability to deploy AI-driven systems. This is a full-time position based in Pune, Maharashtra, offering a mid-senior level role in engineering and IT.

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

Responsibilities

• Develop, optimize, and maintain high-performance backend applications using Java.
• Build robust microservices using Spring Boot / Spring Cloud.
• Design scalable RESTful APIs and event-driven architectures.
• Integrate leading LLMs into Java-based systems.

Skills

Core Java

Spring Boot

REST APIs

Microservices architecture

SQL/NoSQL databases

LLMs

OpenAI API

Prompt engineering

Containerization tools (Docker, Kubernetes)

Cloud ecosystems (AWS, Azure, GCP)

Education

Bachelor’s or Master’s degree in Computer Science

Tools

LangChain

PostgreSQL

MongoDB

Redis

HuggingFace

Job description

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

Key Responsibilities

• 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.

Seniority level

• Mid‑Senior level

Employment type

• Full‑time

Job function

• Engineering and Information Technology

Industries

• IT Services and IT Consulting