In depth knowledge of full-stack development of enterprise applications using Java/J2EE, Javascript, SOAP, REST Webservices, Spring Boot, Microservices, Angular 6.0
Job Description
Candidate must have minimum 8+ years of experience with Java Development
In depth knowledge of full-stack development of enterprise applications using Java/J2EE, Javascript, SOAP, REST Webservices,Spring Boot, Microservices, Angular 6.0
Proficiency in fundamental front end UI technologies - HTML, CSS and JavaScript.
Work experience in JUnit or TestNG
Experience delivering with an agile scrum methodology
Familiarity with JavaScript libraries such as JQuery and React.
Familiarity with Oracle database.
Familiarity with CI/CD Tools BitBucket, Jenkins, Maven etc.
Work experience with Weblogic app server on Solaris is a plus
Work experience in Javascript unit test frameworks such as Jest, Mocha or Jasmine is a plus
Good communication skills and strong team player
Specializes in retrieval-augmented generation architecture — building the search, indexing, and retrieval layer that grounds LLM outputs in accurate, up-to-date information.
Works on pretraining and post-training of foundation models — architecture experiments, training efficiency, alignment techniques (RLHF, DPO), and scaling research, often in collaboration with research scientists.
Owns model development, training, and quality — building and improving the ML models (not just LLM wrappers) that power a product, from data pipeline to production deployment.
Owns the compute infrastructure that trains and serves AI models — GPU cluster management, distributed training pipelines, and inference serving at scale. A natural pivot for DevOps/backend infra engineers.
