Senior Applied AI Engineer

📋 Description Design, prototype, and implement production AI capabilities to improve reasoning and explainability. Evaluate emerging LLMs, multimodal models, and agent frameworks for platform advancement. Rapidly prototype AI capabilities and transition experiments into production. Improve autonomous and multi-agent workflows via prompt engineering and context management. Refine RAG pipelines, retrieval strategies, embeddings, and grounding techniques. Improve AI response quality through experimentation and benchmarking. 🎯 Requirements Bachelor's degree in CS/AI/ML or related field (or equivalent). 5+ years in software engineering or applied AI. Experience building production AI apps powered by LLMs. Design/optimize Retrieval-Augmented Generation (RAG) systems. Prompt engineering, embeddings, semantic search, vector databases. Python programming and modern software practices. Experience with LangGraph, LangChain, LlamaIndex, Semantic Kernel, or similar. Familiarity with REST APIs, cloud-native apps, and distributed systems. 🎁 Benefits High-visibility federal missions Culture values innovation, growth, and collaboration Access to cutting-edge tools and technologies Comprehensive benefits for you and your family A career path that rewards ambition and performance