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.

• 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).
• 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.