AI/ML Engineer with Full Stack Software Engineer
Experience: 4+ Years
(Remote/Hybrid)
Job Summary
We are seeking an experienced AI/ML Engineer with Full Stack Software Engineer with strong expertise in Java, Spring Boot, React, Microservices, Cloud Platforms, and DevOps practices. The ideal candidate will have hands-on experience designing, developing, testing, and deploying enterprise-scale applications in Agile environments. The role requires strong problem-solving skills, ownership of end-to-end feature delivery, and experience building scalable cloud-native solutions.
Key Responsibilities
Design, develop, test, and deploy scalable enterprise applications across the Software Development Lifecycle (SDLC).
Building Agentic AI Solutions,
Develop and maintain backend services using Java, Spring Boot, Spring MVC, Hibernate, and Microservices architecture.
Build and consume RESTful APIs and web services, ensuring performance, scalability, and security
Develop responsive and user-friendly frontend applications using React, TypeScript, JavaScript, HTML, and CSS.
Implement event-driven architectures and asynchronous messaging solutions using Apache Kafka. ,
Build, manage, and optimize CI/CD pipelines using GitHub Actions, Jenkins, Azure DevOps, and related DevOps tools
Deploy and support applications on cloud platforms including AWS, Azure, and GCP
Collaborate with cross-functional teams in Agile/Scrum environments to deliver high-quality software solutions. ,
Create and execute unit, integration, and automated tests to ensure quality and reliability
Monitor application health and performance using tools such as Grafana, New Relic, and Splunk. ,
Required Technical Skills
Programming Languages
Java, Python, JavaScript, TypeScript, SQL, C# , AI/ML Engineer
Backend Technologies
Spring Boot, Spring MVC, Spring Framework, Hibernate
REST APIs, SOAP, Microservices, Apache Kafka
JSON, XML, OAuth, Spring Security ,
Frontend Technologies
ReactJS, AngularJS, TypeScript, JavaScript, HTML, CSS, Bootstrap
Cloud Technologies
AWS (Elastic Beanstalk, RDS, CodePipeline)
Azure (App Service, Functions, Storage, Monitor)
GCP (Compute Engine, BigQuery) , , ,
Databases
PostgreSQL, MySQL, Oracle, SQL Server, MongoDB
DevOps & CI/CD
Docker, Kubernetes, GitHub Actions, Jenkins, Azure DevOps
Testing Tools
JUnit, Mockito, Cucumber, Jest, Postman, React Testing Library , ,
Monitoring & Observability
Grafana, New Relic, Splunk, Spring Boot Admin ,
Preferred Qualifications
Experience with AI-enabled software development, OpenAI APIs, GitHub Copilot, LLMs, and Agentic AI solutions. ,
Strong understanding of Agile methodologies, Scrum framework, and SDLC best practices. ,
Experience optimizing application performance, scalability, and operational reliability.
Strong communication, collaboration, and problem-solving skills.
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