Happiest Minds - AI Engineering Specialist - Java

Job Title : AI Engineering Specialist - Java

Employment Type : Full-Time

About the Role :

We are looking for a highly skilled AI Engineering Specialist - Java to design and develop scalable, event-driven enterprise platforms capable of handling high-volume, real-time data processing. The ideal candidate should have strong hands-on experience in Java-based microservices architecture, cloud-native development, Kubernetes, and modern DevOps practices.

The role will also involve building a future-ready API-first platform architecture that can support integration with Agentic AI and intelligent communication frameworks.

Key Responsibilities :

- Design, develop, and maintain scalable microservices-based applications using Java and Spring Boot.

- Build and support high-throughput, event-driven platforms capable of handling millions of touchpoints and real-time data ingestion.

- Develop cloud-native applications and services on AWS infrastructure.

- Work with distributed systems and messaging platforms including Kafka, SNS, and SQS.

- Design and implement RESTful APIs and API-first architectures for enterprise applications.

- Develop scalable containerized applications using Kubernetes and AWS EKS.

- Implement and manage CI/CD pipelines to support automated deployments and release management.

- Collaborate with cross-functional teams including Engineering, DevOps, Data, and AI teams.

- Ensure system reliability, scalability, performance optimization, and observability using monitoring tools such as CloudWatch.

- Work with databases and caching technologies including MongoDB and Redis.

- Contribute to platform modernization and cloud transformation initiatives.

- Support future integration of Agentic AI and intelligent automation frameworks into the platform ecosystem.

- Participate in code reviews, troubleshooting, debugging, and technical solution discussions.

Required Skills :

Strong hands-on coding experience in :

- Java

- Spring Boot

Strong expertise in AWS services including :

- EKS

- SNS

- SQS

- OpenSearch

- CloudWatch

Experience with :

- Kubernetes

- Docker

- CI/CD pipelines

- AWS DevOps practices

Hands-on experience with :

- Kafka

- MongoDB

- Redis

Strong understanding of :

- Event-driven architecture

- Microservices architecture

- API-first development

- Distributed systems

- Experience working in high-scale, real-time processing environments.

- Exposure to productivity and code generation tools such as Cursor.

Preferred Skills :

Exposure to :

- Azure Data Lake

- Databricks

- Cross-cloud architecture

Familiarity with :

- Agentic AI concepts

- LLM frameworks

- AI integration architectures

- Understanding of scalable AI-ready platform design.

Desired Candidate Profile :

- Strong problem-solving and analytical skills.

- Ability to work in fast-paced and collaborative environments.

- Strong communication and technical discussion skills.

- Passion for cloud-native and AI-enabled platform engineering.

- Self-driven individual with strong ownership mindset.

Education :

- Bachelors degree in Computer Science, Information Technology, Engineering, or related field.

- Relevant cloud or Java certifications will be an added advantage.