AI Engineer

The AI Engineer is responsible for implementing Generative AI solutions for DXC business problems, improving efficiency, personalized user experiences, and the ability to automate complex tasks driving innovation. The role encompasses the mission to design, develop, and deploy innovative generative AI models that can automate and enhance creative processes, solve complex problems, and drive the advancement of AI. The role specializes in training Large Language Models (LLMs), implementing workflows based on Pretraining, Finetuning LLMs, and Retrieval-Augmented Generation (RAG), with a profound understanding of LLMs and expertise in creating RAG-based workflows.

Mandatory Skills:

1. 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.

2. Deep understanding of language models and a strong proficiency in designing and implementing RAG-based workflows to enhance content generation and information retrieval.

3. Experience in building, customizing and fine-tuning LLMs via OpenAI studio extended through Azure OpenAI cognitive services for rapid PoCs

4. 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.

5. Apply prompt engineering techniques to design refined and contextually relevant prompts for language models.

6. Monitor and analyse the performance of LLMs by experimenting with various prompts, evaluating results, and refining strategies accordingly.

7. Building customizable, conversable AI agents for complex tasks using CrewAI and LangGraph to enhance Gen AI solutions

8. Proficient in MCP(Model Context Protocol) for optimizing context-aware AI model performance and integration is a plus

Basic Qualifications:

1. Bachelor's or Master's degree in computer science or a related discipline.

2. Good communication & Interpersonal skills to interact with customers and partner teams

3. Must be a quick learner & Self-starter who requires minimal supervision.

4. Excellent Problem solving, Critical thinking & Analytics skills.

5. Proficiency in english(Oral & Written)