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Java Microservices Engineer – Agentic AI Integration
Job Title: Java Microservices Engineer – Agentic AI Integration
Experience: 4–7 Years
Relevant Hands-on Experience: 1–3 Years
Location: PAN India
Employment Type: Contract / Project-Based
Openings: 2 Positions
Job Summary
We are looking for experienced Java Microservices Engineers with strong hands-on expertise in Java, Spring Boot, Microservices, REST APIs, enterprise integration, and event-driven architecture, along with practical exposure to Agentic AI, LLMs, or AI-powered application integration.
The selected candidate will work closely with AI/ML and backend engineering teams to integrate enterprise applications, APIs, databases, and backend services with AI agents and LLM-powered workflows.
The role is suitable for a strong Java backend engineer who understands modern AI integration patterns and can build reliable, scalable backend services that enable AI-driven enterprise applications.
Key Responsibilities
Java & Microservices Development
Design, develop, test, and maintain scalable Java-based microservices.
Develop backend applications using Java and Spring Boot.
Build reusable, secure, and high-performance RESTful services.
Implement business logic and backend integrations based on functional requirements.
Troubleshoot application issues and optimize service performance.
Follow clean coding, design patterns, testing, and software engineering best practices.
API Development & Integration
Design and develop REST APIs for enterprise applications.
Build API orchestration layers required for AI-agent interactions.
Integrate backend services with internal and external systems.
Develop interfaces that allow AI agents to securely interact with enterprise applications.
Implement authentication, authorization, validation, error handling, and API security.
Work with API gateways and enterprise integration patterns where applicable.
Agentic AI / LLM Integration
Collaborate with AI/ML and Agentic AI developers to integrate backend services with AI workflows.
Develop backend capabilities that can be exposed as tools or APIs for AI agents.
Support integration between Java microservices and LLM-powered applications.
Understand how AI agents interact with APIs, enterprise systems, databases, and business services.
Participate in implementing AI-agent workflows and enterprise automation solutions.
Help ensure AI integrations are secure, scalable, reliable, and production-ready.
Event-Driven Architecture
Design and develop event-driven services using Kafka.
Implement asynchronous communication between microservices.
Work with event producers, consumers, topics, partitions, and messaging patterns.
Troubleshoot event-processing and integration issues.
Apply appropriate enterprise integration patterns for distributed systems.
Database & Enterprise Integration
Develop and optimize database interactions using PostgreSQL or Oracle.
Design efficient queries and data-access components.
Integrate microservices with enterprise databases and applications.
Work with distributed systems and enterprise application integration requirements.
Ensure data consistency and reliability across integrated systems.
System Design & Production Support
Participate in application architecture and system design discussions.
Contribute to designing scalable and fault-tolerant microservices.
Identify performance, security, and reliability improvements.
Troubleshoot production issues and provide root-cause analysis.
Collaborate with cross-functional teams throughout the development lifecycle.
Mandatory Technical Skills
Java Backend
Java – Mandatory
Spring Boot – Mandatory
Microservices Architecture
Object-Oriented Programming
Java Collections / Multithreading
Exception Handling
Design Patterns
API & Integration
REST APIs
API Design
API Orchestration
Enterprise Integration Patterns
API Security
Backend System Integration
Event-Driven Architecture
Apache Kafka
Event-driven architecture
Messaging / asynchronous communication
Kafka producers and consumers
Database
PostgreSQL OR Oracle
SQL
Database integration
Data-access frameworks
Agentic AI / LLM
Understanding of Agentic AI
Understanding of LLM-based applications
AI Agent workflows
Enterprise AI integration
Experience integrating backend services with AI/LLM platforms
Development Tools
Git
Docker
CI/CD understanding
Good to Have
Candidates with experience in any of the following will be preferred:
LangGraph
LangChain
Python
FastAPI
Kubernetes
AWS
Azure
GCP
API Gateway
Cloud-native microservices
LLM APIs
AI Agent tool calling
RAG architecture
Vector databases
Required Experience
3–7 years of professional software development experience.
Strong hands-on experience with Java and Spring Boot.
Strong experience developing REST-based Microservices.
Experience with Kafka / Event-Driven Architecture.
Experience with PostgreSQL or Oracle.
Experience with enterprise application integration.
Exposure to Agentic AI / LLM-based solutions.
Ability to work with AI/ML teams on backend and API integrations.
Experience with Git and Docker.
Preferred Candidate Profile
The ideal candidate should be a strong Java Backend / Microservices Engineer who is interested in modern AI application development.
The candidate should be comfortable working across traditional enterprise backend engineering and emerging Agentic AI integration patterns, including connecting AI agents with APIs, databases, business applications, and backend services.
Strong communication, analytical, troubleshooting, and collaboration skills are required.
Interview Process
Round 1: Customer Interview
Round 2: 1–2 Subsequent Client Interview Rounds
Application
Interested candidates can share their updated CV along with:
Total Experience
Java Experience
Spring Boot Experience
Microservices Experience
Kafka Experience
PostgreSQL / Oracle Experience
Agentic AI / LLM Experience
LangChain / LangGraph Experience, if any
Current Location
Notice Period / Availability
Current CTC & Expected CTC
📩 Email: priyanka.jadhav@philodesigntech.com
📱 WhatsApp: +91 92848 05350
LinkedIn Recruiter Search Keywords
Java Developer, Senior Java Developer, Java Backend Developer, Java Microservices Developer, Java Microservices Engineer, Spring Boot Developer, Spring Boot Engineer, Microservices, REST API, RESTful Services, API Integration, API Orchestration, Enterprise Integration, Enterprise Integration Patterns, Kafka, Apache Kafka, Event Driven Architecture, PostgreSQL, Oracle, Agentic AI, AI Agents, LLM, Large Language Models, Generative AI, GenAI, AI Integration, LLM Integration, LangChain, LangGraph, FastAPI, Docker, Kubernetes, AWS, Azure, GCP.
Work arrangement
No
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