Data Scientist: Ai/Ml Engineer

Design, develop, and deploy AI agentic applications by leveraging LLMs, prompt engineering, and Retrieval Augmented Generation (RAG) within agent workflow frameworks
Collaborate with cross-functional teams to identify and prioritize project requirements
Integrate AI models with Salesforce, Watsonx Assistant, Watsonx Orchestrate, Slack and other web applications using RESTful APIs and web frameworks such as Spring Boot or Flask/FastAPI.
Develop and maintain relational and vector databases such as PostgreSQL and Milvus
Stay up to date with the latest advancements in AI and machine learning, and apply this knowledge to improve our AI applications