5+ Years of experience in the design & development of state-of-the-art language models, Utilize off-the-shelf LLM services, such as Azure OpenAI, to integrate LLM capabilities into applications.
Deep understanding of language models and a strong proficiency in designing and implementing RAG-based workflows to enhance content generation and information retrieval.
Experience in building, customizing and fine-tuning LLMs via OpenAI studio extended through Azure OpenAI cognitive services for rapid PoCs
Proven track record of successfully deploying and optimizing LLM models in cloud(AWS, Azure or GCP) for inference in production environments and proven ability to optimize LLM models for inference speed, memory efficiency, and resource utilization.
Apply prompt engineering techniques to design refined and contextually relevant prompts for language models.
Monitor and analyse the performance of LLMs by experimenting with various prompts, evaluating results, and refining strategies accordingly.
Building customizable, conversable AI agents for complex tasks using CrewAI and LangGraph to enhance Gen AI solutions
Proficient in MCP(Model Context Protocol) for optimizing context-aware AI model performance and integration is a plus

Basic Qualifications:

Bachelors or Masters degree in computer science or a related discipline.
Good communication & Interpersonal skills to interact with customers and partner teams
Must be a quick learner & Self-starter who requires minimal supervision.
Excellent Problem solving, Critical thinking & Analytics skills.
Proficiency in english(Oral & Written)

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