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AI Engineer with Java at NTT DATA
Bengaluru, karnataka, India -
Full Time

Start Date

Immediate

Expiry Date

10 Feb, 26

Salary

0.0

Posted On

12 Nov, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Java, GenAI Applications, Model Deployment, Data Integration, Architecture Support, Prompt Engineering, Issue Resolution, Regression Testing, Python, API Builds, Azure Cloud Services, LLM Orchestration, Embedding Optimization, Semantic Kernel, Vector Stores, Semantic Search Frameworks

Industry

IT Services and IT Consulting

Description
Specialized role focused on supporting, designing, developing GenAI applications. Provides high touch service to Hanover users regarding changes in-scope of the support services. Supports the GenAI applications including model deployment, configuration, data integration, architecture support, prompt engineering, issue resolution, and regression testing. Translates support issues into designs and develops the GenAI solutions, integrations, and prompt engineering. Utilizes core development skills in tools such as python, API builds and integrations, Gen AI patterns such as RAG and others, Azure cloud services and is responsible for delivering upon the design. Have working knowledge of Gen AI frameworks (Ie. Semantic kernel) Alternate between core development of GenAI services (e.g., LLM orchestration, embedding optimization, tool/function calling logic) and support of production GenAI applications (e.g., incident resolution, service monitoring, and root cause analysis for production deployments) Implement, and support RAG-based GenAI solutions integrating vector stores, chunking strategies, prompt pipelines, and semantic search frameworks (e.g., Semantic Kernel, Azure AI Search) Write and maintain clean, modular Python code for GenAI application such as LLM integration, data preprocessing, and tool-based agent design.
Responsibilities
The role focuses on supporting, designing, and developing GenAI applications while providing high touch service to users. Responsibilities include model deployment, configuration, data integration, and issue resolution.