AI Engineer - AWS Bedrock, LLMs, and Conversational AI

Job Title: AI Engineer - AWS Bedrock, LLMs, and Conversational AI<br> Experience Level: Jr to Mid Level AI/ML Engineer<br> Only LOCALS to Dallas <br> <br> Job Description:<br> <br> We are looking for a highly skilled AI Engineer with expertise in building advanced AI-driven applications using AWS Bedrock and large language models (LLMs). The ideal candidate will have hands-on experience in prompt engineering, agent building, and Conversational AI Generation (CAG) to create intelligent, context-aware AI agents. You will leverage Python and FastAPI to develop scalable APIs, implement Retrieval-Augmented Generation (RAG), and work with vector databases to optimize AI-driven search and response systems. This role requires strong collaboration with cross-functional teams to deliver innovative AI solutions on AWS.<br> Key Responsibilities:<br> <br> Design, develop, and deploy AI applications leveraging AWS Bedrock and other AWS AI/ML services.<br> Engineer effective prompts and prompt templates to optimize LLM performance and contextual understanding.<br> Build and maintain intelligent AI agents capable of multi-turn conversations and task automation using Conversational AI Generation (CAG) techniques.<br> Develop scalable APIs using Python and FastAPI to serve AI models and conversational agents.<br> Implement Retrieval-Augmented Generation (RAG) frameworks to enhance knowledge retrieval and response accuracy.<br> Manage and optimize vector databases (e.g., Pinecone, Weaviate) for semantic search and similarity matching.<br> Design and apply scoring and ranking algorithms to improve LLM output relevance and user experience.<br> Collaborate closely with data scientists, software engineers, and product managers to integrate AI capabilities into products.<br> Optimize AI workflows and infrastructure on AWS for scalability, security, and cost-efficiency.<br> Stay current with emerging AI technologies, prompt engineering best practices, and AWS innovations.<br> Required Skills and Qualifications:<br> <br> Proven experience with AWS Bedrock and AWS AI/ML ecosystem.<br> Strong proficiency in Python programming, with practical experience using FastAPI for API development.<br> Expertise in prompt engineering to design, test, and refine prompts for LLMs.<br> Experience building AI agents and conversational AI systems using CAG methodologies.<br> Working knowledge of Retrieval-Augmented Generation (RAG) and its application in AI solutions.<br> Hands-on experience with vector databases such as Pinecone, Weaviate, or similar platforms.<br> Familiarity with scoring and ranking techniques for large language model outputs.<br> Solid understanding of AWS cloud infrastructure components including IAM, Lambda, S3, and EC2.<br> Excellent collaboration skills within agile, cross-functional teams.<br> Strong analytical and problem-solving abilities.<br> Effective communication skills to convey complex AI concepts clearly.