Prompt & RAG Engineer

Job description

**Role & responsibilities** - Create and refine prompts that guide gen AI models to produce accurate and relevant outputs. Ensure prompts align with project objectives and user needs. - Work with data scientists and AI developers to fine-tune model parameters based on prompt effectiveness. Implement strategies to improve model responses. - Conduct experiments to assess the performance of different prompts. Analyze results to identify areas for improvement and implement changes accordingly. - Experience in OpenAI Playground, Prompt Engineering Libraries, Custom Fine-tuning Services - Familiarity with natural language processing (NLP) tools - Experience in ML, Data Science basic and advance techniques **Preferred candidate profile** - Experience in development and deployment of GenAI solution - Analytics and AI tooling Sagemaker, GenAI - Orchestration Airflow, Step Functions, Ctrl M etc - Languages and scripting: Python, SQL - Cloud Services - AWS, GCP, Azure and Cloud Native **[Any one cloud service is mandatory]** - Ensure GenAI outputs are contextually relevant, - Collaborate with service line teams to design, implement and manage Gen-AI solution - undefined Preferred Qualifications/ Skills AI and GenAI Tools Certifications in AI/ML or GenAI (optional)Experience in generative models, prompt engineering, and fine-tuning techniques to develop innovative AI solutions. Designing, developing, and implementing solutions tailored to meet client needs. Understanding business requirements and translating them into technical solutions using GEN AI