Java + AI Engineer (Agentic AI)

United States Digital Space LLC; Karnataka; On-site; INR 800,000 - 900,000; Full time

Job summary

United States Digital Space LLC in India (Karnataka) seeks a senior Java/AI engineer to design, develop, and deploy scalable AI-powered applications. You will work with Java 17/21, Spring Boot, REST APIs, microservices, and LLMs to build agentic AI solutions and RAG pipelines.

You will collaborate with cross-functional teams on architecture reviews, code reviews, and performance-focused implementations, ensuring security and reliability in enterprise contexts.

Qualifications

• 5–7+ years of hands-on Java application development.
• Strong expertise in Core Java (Java 17/21 preferred).
• Solid experience with Spring Boot, REST APIs, and Microservices Architecture.
• Hands-on experience building applications using Large Language Models (LLMs) such as OpenAI, Anthropic (Claude), Gemini, Llama, or similar.
• Practical experience in Agentic AI development, including AI agents, workflow orchestration, planning, memory management, and tool integration.
• Experience with one or more AI frameworks such as LangGraph, LangChain, CrewAI, AutoGen, Semantic Kernel, Spring AI, or equivalent frameworks.
• Strong understanding of RAG (Retrieval-Augmented Generation) architectures.
• Experience with Vector Databases such as Pinecone, Weaviate, ChromaDB, Milvus, pgvector, or similar.
• Experience integrating AI capabilities into enterprise applications.
• Good understanding of cloud platforms such as AWS, Azure, or GCP.
• Familiarity with Docker, Kubernetes, Git, and CI/CD pipelines.
• Excellent communication, analytical, and problem-solving skills.

Responsibilities

• Design, develop, and maintain scalable applications using Java 17/21 and Spring Boot.
• Build and deploy AI-powered enterprise applications leveraging LLMs.
• Design and implement Agentic AI solutions, including autonomous agents, planning, orchestration, tool calling, and multi-step reasoning.
• Develop and integrate RESTful APIs and microservices with AI components.
• Implement Retrieval-Augmented Generation (RAG) pipelines using vector databases and embedding models.
• Integrate AI models with enterprise systems while ensuring performance, scalability, and security.
• Collaborate with cross-functional teams to deliver production-grade AI solutions.
• Participate in architecture discussions, code reviews, and technical design sessions.

Skills

Java 17/21

Spring Boot

REST APIs

Microservices

LLMs

Agentic AI

AI frameworks

LangGraph

LangChain

CrewAI

AutoGen

Semantic Kernel

Spring AI

RAG

Vector Databases

AWS/Azure/GCP

Docker/Kubernetes

Git

CI/CD

Tools

Docker

Kubernetes

Git

CI/CD

Job description

Key Responsibilities

• Design, develop, and maintain scalable applications using Java 17/21 and Spring Boot.
• Build and deploy AI-powered enterprise applications leveraging Large Language Models (LLMs).
• Design and implement Agentic AI solutions, including autonomous agents, planning, orchestration, tool calling, and multi-step reasoning.
• Develop and integrate RESTful APIs and microservices with AI components.
• Implement Retrieval-Augmented Generation (RAG) pipelines using vector databases and embedding models.
• Integrate AI models with enterprise systems while ensuring performance, scalability, and security.
• Collaborate with cross-functional teams to deliver production-grade AI solutions.
• Participate in architecture discussions, code reviews, and technical design sessions.

Required Skills

• 5–7+ years of hands-on experience in Java application development.
• Strong expertise in Core Java (Java 17/21 preferred).
• Solid experience with Spring Boot, REST APIs, and Microservices Architecture.
• Hands-on experience building applications using Large Language Models (LLMs) such as OpenAI, Anthropic (Claude), Gemini, Llama, or similar.
• Practical experience in Agentic AI development, including AI agents, workflow orchestration, planning, memory management, and tool integration.
• Experience with one or more AI frameworks such as:
• LangGraph
• LangChain
• CrewAI
• AutoGen
• Semantic Kernel
• Spring AI
• or equivalent frameworks
• Strong understanding of RAG (Retrieval-Augmented Generation) architectures.
• Experience with Vector Databases such as Pinecone, Weaviate, ChromaDB, Milvus, pgvector, or similar.
• Experience integrating AI capabilities into enterprise applications.
• Good understanding of cloud platforms such as AWS, Azure, or GCP.
• Familiarity with Docker, Kubernetes, Git, and CI/CD pipelines.
• Excellent communication, analytical, and problem-solving skills.

Preferred Qualifications

• Experience with Model Context Protocol (MCP).
• Knowledge of AI workflow orchestration and prompt engineering.
• Experience building multi-agent AI systems.
• Understanding of event-driven architectures.
• Prior experience in the Banking or Financial Services domain is an advantage.

Pay: ₹800,000.00 - ₹900,000.00 per year

Experience:

• Java: 5 years (Required)

Work Location: In person