AI Engineer

Hello,

Greetings from ZettaMine Labs Pvt Ltd!!

We are looking for a GenAI Engineer / AI Modernization Engineer with exciting project opportunities.

Job Role: GenAI Engineer – AI Modernization

Location: Hyderabad

Experience: As per requirement

Relevant Experience: Strong hands-on experience in GenAI modernization, LLM architecture, Prompt Engineering, Agentic AI, RAG, AI governance, Solution Architecture, Python, LangChain/LlamaIndex, Azure AI Services, OpenAI models, and Vector Databases.

Mandatory:

• Strong experience in GenAI modernization accelerators
• Hands-on experience with LLM architecture
• Strong knowledge of Prompt Engineering
• Experience in Agentic AI design and development
• Strong understanding of RAG architecture
• Experience with AI/ML lifecycle management
• Strong understanding of AI governance
• Experience in AI Solution Architecture
• Hands-on experience with Python
• Experience with LangChain / LlamaIndex
• Experience with Azure AI Services
• Experience working with OpenAI models
• Strong understanding of Vector Databases
• Experience with code analysis automation
• Experience with AI-based business rule extraction
• Experience developing source-to-target conversion accelerators
• Experience with AI-based test generation frameworks
• Experience with legacy system reverse engineering

Good-to-Have:

• Experience designing enterprise-scale GenAI modernization solutions
• Experience with LLM-based code analysis
• Exposure to AI-driven business rule extraction
• Experience developing legacy application modernization accelerators
• Experience with automated source-to-target code conversion
• Experience with AI-based test case / test code generation
• Knowledge of AI governance and responsible AI practices
• Experience with enterprise RAG and vector database architectures
• Experience integrating Azure AI and OpenAI services
• Strong understanding of Agentic AI frameworks and architectures

Key Responsibilities:

• Design and develop GenAI modernization accelerators for enterprise applications.
• Architect and implement LLM-based solutions for application modernization.
• Design and optimize RAG architectures using appropriate vector databases.
• Develop Agentic AI solutions for automation and modernization use cases.
• Build AI-powered code analysis automation frameworks.
• Develop solutions for business rule extraction using AI/LLMs .
• Build source-to-target conversion accelerators for legacy application modernization.
• Develop AI-powered test generation frameworks .
• Apply GenAI techniques for legacy system reverse engineering .
• Develop and integrate solutions using Python, LangChain/LlamaIndex, Azure AI Services and OpenAI models .
• Design scalable AI solution architectures aligned with enterprise requirements.
• Implement appropriate AI governance and lifecycle management practices.
• Work with technical and business stakeholders to identify suitable GenAI modernization opportunities .
• Evaluate LLM, RAG and Agentic AI approaches for different modernization use cases.
• Develop reusable accelerators and frameworks to improve modernization efficiency.
• Ensure AI solutions are scalable, maintainable and aligned with enterprise architecture standards.

Who Can Apply?

✔️ Strong experience in GenAI / AI Engineering / AI Solution Architecture .

✔️ Experience with LLM Architecture and Prompt Engineering .

✔️ Hands-on experience with Agentic AI and RAG architecture .

✔️ Strong experience with Python .

✔️ Experience with LangChain / LlamaIndex .

✔️ Experience with Azure AI Services and OpenAI models .

✔️ Experience with Vector Databases .

✔️ Experience in GenAI modernization and legacy system modernization .

✔️ Experience with code analysis automation and business rule extraction using AI .

✔️ Experience with source-to-target conversion accelerators .

✔️ Experience with AI-based test generation frameworks .

✔️ Experience with legacy system reverse engineering .

✔️ Understanding of ML lifecycle management and AI governance .

✔️ Strong solution architecture and stakeholder management skills.

Candidate Details:

Full Name:

Contact Number:

Current Location:

Total Experience:

Relevant Experience in GenAI:

LLM Architecture Experience:

Prompt Engineering Experience:

Agentic AI Experience:

RAG Experience:

AI/ML Lifecycle Management Experience:

AI Governance Experience:

Solution Architecture Experience:

Code Analysis Automation Experience:

Business Rule Extraction using AI Experience:

Source-to-Target Conversion Experience:

Test Generation Framework Experience:

Legacy System Reverse Engineering Experience:

Python Experience:

LangChain / LlamaIndex Experience:

Azure AI Services Experience:

OpenAI Experience:

Vector Database Experience:

Current Company:

Notice Period:

Current CTC:

Expected CTC:

We look forward to connecting with you!!

Thanks and Regards,

TAG Team