Java AI Developer

Innorev Technologies Inc; Chicago (IL); On-site; USD 120,000 - 150,000; Full time

Job summary

Innorev Technologies Inc is seeking a Senior Java Developer to design, build, and deploy scalable enterprise applications in a cloud-native environment. You will work with Java, Spring Boot, AWS, Kafka, and MongoDB, aligning AI-enabled capabilities with Generative AI and LLMs to deliver robust, high-performance systems. The role emphasizes collaboration with architects, data engineers, and AI teams to deliver innovative solutions.

Qualifications

• Design and implement scalable Java microservices with modern frameworks.
• Hands-on experience with Spring Boot, Spring Cloud, and REST APIs.
• Experience integrating AI/ML services and cloud-native architectures.

Responsibilities

• Design and develop scalable microservices using Java, Spring Boot, and Spring Cloud.
• Build and maintain RESTful APIs and event-driven apps using Kafka.
• Develop and optimize applications with MongoDB and relational databases.

Tools

Java

Spring Boot

Kafka

MongoDB

AWS

Spring Cloud

REST APIs

CI/CD

AI/ML services

LLMs

RAG frameworks

Cloud-native

Job description

We are seeking a Senior Java Developer with strong expertise in Java, Spring Boot, Microservices, AWS, Kafka, and MongoDB, along with hands-on experience building AI-enabled applications. The ideal candidate will design, develop, and deploy scalable enterprise solutions while integrating Generative AI, LLMs, RAG frameworks, and AI-powered services into modern cloud-native architectures.

Key Responsibilities

Design and develop scalable microservices using Java, Spring Boot, and Spring Cloud.

Build and maintain RESTful APIs and event-driven applications using Kafka.

Develop and optimize applications leveraging MongoDB and relational databases.

Design, deploy, and manage cloud-native solutions on AWS (ECS, Lambda, S3, SQS, EventBridge, API Gateway).

Integrate AI/ML services, LLMs, RAG solutions, and AI-powered workflows into enterprise applications.

Develop secure, high-performance, and highly available distributed systems.

Collaborate with architects, product owners, data engineers, and AI teams to deliver innovative solutions.

Participate in code reviews, architecture discussions, CI/CD implementation, and production support activities.