Job Description
Your Role and Responsibilities
- 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
Required Technical and Professional Expertise
- Proficiency in Prompt Engineering, LLMs, Retrieval Augmented Generation, and Python programming
- Experience with GitHub, software development, CICD, cloud and deployment database management systems such as MySQL or PostgreSQL ,vector database (Milvus, Weaviate) and graph database (Neo4j)
- Experience using LLMs in software applications, including prompting, calling, and processing outputs
- Experience with AI frameworks such as LangChain, Llamma Index, Crew.ai, Autogen, watsonx.ai and the models available in the platform
Preferred Technical And Professional Expertise
- Experience in designing and implementing large-scale AI solutions, including data ingestion, storage, processing, and deployment.
- Experience working on LLMs, Model Training & Evaluation, Performance Benchmarking.