01Overview
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
58 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
Bachelors or Masters 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. .
