Generative AI Engineer

📋 Description

• Design, develop, test, deploy, and maintain generative AI solutions that ground large language
• Build and maintain document ingestion pipelines covering parsing, chunking, metadata tagging
• Translate user needs and stakeholder requirements into effective prompts, context strategies
• Implement AI responses that include source citations and direct links to underlying documentation
• Design and implement responsible AI guardrails, including content filtering, scope restrictions
• Develop evaluation frameworks and test datasets to measure retrieval quality, answer accuracy

🎯 Requirements

• Master's degree in computer science, data science, engineering, or another relevant technical field.
• At least 5 years of experience developing software and cloud-based solutions, including recent
• Strong proficiency in Python and experience with modern LLM APIs, SDKs, orchestration frameworks
• Hands-on experience designing and deploying generative AI systems involving embeddings, vector
• Experience with AWS AI and data services such as Amazon Bedrock, Amazon OpenSearch, Amazon Kendra
• Practical experience with prompt engineering, context engineering, LLM evaluation, and techniques

🎁 Benefits

• Opportunity to work on mission-critical generative AI solutions supporting healthcare organizations
• Hands-on exposure to advanced LLM technologies, retrieval-augmented generation, semantic search, AI
• Opportunity to work with AWS cloud services and modern AI engineering tools and frameworks.
• Collaborative environment involving engineers, analysts, project managers, subject matter experts
• Opportunity to contribute to secure and responsible AI solutions operating within federal security
• Professional growth through exposure to emerging AI technologies, federal AI guidance, and complex