Gurugram, Haryana, India
Space Exploration & Research, Information Technology
Full-Time
Evnek
Overview
Job Title: Senior Generative AI Engineer
Experience: 7–12 Years
Location: Bengaluru, Chennai, Hyderabad, Pune, Vadodara
Work Mode: Hybrid
Notice Period: Immediate Joiners Only
Job Overview
We are looking for a highly skilled Senior Generative AI Engineer to design, develop, and deploy enterprise-scale AI solutions using Microsoft Azure and cutting-edge Generative AI technologies. You will be at the forefront of building intelligent, cloud-native applications leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) pipelines, OCR, and agent-based frameworks.
Key Responsibilities
Experience: 7–12 Years
Location: Bengaluru, Chennai, Hyderabad, Pune, Vadodara
Work Mode: Hybrid
Notice Period: Immediate Joiners Only
Job Overview
We are looking for a highly skilled Senior Generative AI Engineer to design, develop, and deploy enterprise-scale AI solutions using Microsoft Azure and cutting-edge Generative AI technologies. You will be at the forefront of building intelligent, cloud-native applications leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) pipelines, OCR, and agent-based frameworks.
Key Responsibilities
- Architect and implement scalable Generative AI solutions using Azure AI services.
- Develop and integrate RAG pipelines, OCR models, and agent-based architectures into enterprise applications.
- Leverage Azure OpenAI, Azure Machine Learning Studio, Azure Cognitive Search, and Azure Document Intelligence for various AI-driven use cases.
- Utilize GenAI frameworks and tools like LangChain, LlamaIndex, and Semantic Kernel for solution design and rapid prototyping.
- Collaborate with cross-functional teams including data scientists, cloud architects, and business stakeholders to translate requirements into AI capabilities.
- Ensure performance optimization, model monitoring, and governance of deployed AI systems.
- Stay updated with the latest in GenAI and Azure AI advancements and recommend strategic improvements.
- 7–12 years of hands-on experience in AI/ML development, with a strong focus on Generative AI.
- Proficiency with Azure AI stack including Azure OpenAI, Azure ML Studio, Cognitive Search, and Document Intelligence.
- Practical experience with LLMs and RAG architectures in enterprise contexts.
- Expertise in using GenAI tools like LangChain, LlamaIndex, and Semantic Kernel.
- Strong programming skills in Python and experience with ML libraries.
- Excellent problem-solving abilities and communication skills.
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