GenAI Fullstack Engineer

As an AI Engineer at the IT Services Organization, your role involves fine-tuning and optimizing Large Language Models (LLMs) for specific use cases. You will be responsible for deploying generative AI models in production using AWS with scalability and reliability. Your key responsibilities include designing and implementing end-to-end AI solutions that integrate NLP and cloud services, developing and maintaining RESTful APIs using FastAPI for AI / LLM services, and building NLP-driven applications with search and indexing capabilities. Additionally, you will evaluate LLM performance, implement improvements based on use cases, design and implement agentic AI workflows for automation and efficiency, and stay updated with the latest advancements in GenAI, NLP, and LLM evaluation. You will collaborate with stakeholders to translate requirements into production-ready solutions.

Key Responsibilities:

• Fine-tune and optimize Large Language Models (LLMs) for specific use cases
• Deploy generative AI models in production using AWS with scalability and reliability
• Design and implement end-to-end AI solutions integrating NLP and cloud services
• Develop and maintain RESTful APIs using FastAPI for AI / LLM services
• Build NLP-driven applications including search and indexing capabilities
• Evaluate LLM performance and implement improvements based on use cases
• Design and implement agentic AI workflows for automation and efficiency
• Stay updated with the latest advancements in GenAI, NLP, and LLM evaluation
• Collaborate with stakeholders to translate requirements into production-ready solutions

Qualifications Required:

• 5 - 13 years of experience in AI / ML or full stack development
• Strong hands-on experience in Python and NLP techniques
• Experience with LLMs, GenAI frameworks, and model fine-tuning
• Expertise in AWS services for deploying AI solutions
• Experience in building APIs using FastAPI (Flask is a plus)
• Exposure to search / indexing systems and data pipelines
• Experience working in production environments with scalable systems

If there are any additional details about the company in the job description, please provide them so that I can incorporate them into the final output. As an AI Engineer at the IT Services Organization, your role involves fine-tuning and optimizing Large Language Models (LLMs) for specific use cases. You will be responsible for deploying generative AI models in production using AWS with scalability and reliability. Your key responsibilities include designing and implementing end-to-end AI solutions that integrate NLP and cloud services, developing and maintaining RESTful APIs using FastAPI for AI / LLM services, and building NLP-driven applications with search and indexing capabilities. Additionally, you will evaluate LLM performance, implement improvements based on use cases, design and implement agentic AI workflows for automation and efficiency, and stay updated with the latest advancements in GenAI, NLP, and LLM evaluation. You will collaborate with stakeholders to translate requirements into production-ready solutions.

Key Responsibilities:

• Fine-tune and optimize Large Language Models (LLMs) for specific use cases
• Deploy generative AI models in production using AWS with scalability and reliability
• Design and implement end-to-end AI solutions integrating NLP and cloud services
• Develop and maintain RESTful APIs using FastAPI for AI / LLM services
• Build NLP-driven applications including search and indexing capabilities
• Evaluate LLM performance and implement improvements based on use cases
• Design and implement agentic AI workflows for automation and efficiency
• Stay updated with the latest advancements in GenAI, NLP, and LLM evaluation
• Collaborate with stakeholders to translate requirements into production-ready solutions

Qualifications Required:

• 5 - 13 years of experience in AI / ML or full stack development
• Strong hands-on experience in Python and NLP techniques
• Experience with LLMs, GenAI frameworks, and model fine-tuning
• Expertise in AWS services for deploying AI solutions
• Experience in building APIs using FastAPI (Flask is a plus)
• Exposure to search / indexing systems and data pipelines
• Experience working in production environments with scalable systems

If there are any additional details about the company in the job description, please provide them so that I can incorporate them into the final output.