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Genai Engineer

Genai Engineer

Achnet

7 - 12 years

6 - 10 Lacs

Bengaluru

Posted:1 week ago| Platform:

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Skills Required

SAN Administration Analytical OOPS Cloud Deployment Management Talent management

Work Mode

Work from Office

Job Type

Full Time

Job Description

GenAI Engineer, TESCRA India, 7 - 12 years, Bengaluru Karnataka India - ACHNET

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DESCRIPTION

Experience: 7-12 Years

Responsibilities include:

Generative AI Engineer with deep expertise in building and deploying enterprise-scale AI solutions using Azure AI Services and cutting-edge GenAI technologies.
You will play a key role in delivering intelligent, cloud-native applications powered by Large Language Models (LLMs), retrieval-augmented generation (RAG) pipelines, OCR, and agent-based frameworks.
The ideal candidate will have extensive hands-on experience with Azure OpenAI, Azure ML Studio, Azure Cognitive Search, and Azure Document Intelligence, in addition to GenAI tooling such as LangChain, LlamaIndex, and Semantic Kernel.

Driving Results:

A good single contributor and a good team player.
Flexible attitude towards work, as per the needs.
Proactively identify & communicate issues and risks.

Other Personal Characteristics:

Dynamic, engaging, self-reliant developer
Ability to deal with ambiguity
Manage a collaborative and analytical approach
Self-confident and humble
Open to continuous learning
Intelligent, rigorous thinker who can operate successfully amongst bright people

QUALIFICATIONS

Must Have Skills

Generative AI Engineer with deep expertise in building and deploying enterprise-scale AI solutions using Azure AI Services and cutting-edge GenAI technologies. You will play a key role in delivering intelligent, cloud-native applications powered by Large Language Models (LLMs), retrieval-augmented generation (RAG) pipelines, OCR, and agent-based frameworks.

The ideal candidate will have extensive hands-on experience with Azure OpenAI, Azure ML Studio, Azure Cognitive Search, and Azure Document Intelligence, in addition to GenAI tooling such as LangChain, LlamaIndex, and Semantic Kernel.

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