LTS - Senior Applied AI Engineer
Requirements
• Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, Software Engineering, Engineering, Data Science, or a related technical discipline (or equivalent professional experience). • 5+ years of software engineering, applied AI, machine learning, or AI systems development experience. • Demonstrated experience developing production AI applications powered by Large Language Models (LLMs). • Experience designing and optimizing Retrieval-Augmented Generation (RAG) systems. • Experience with prompt engineering, embeddings, semantic search, vector databases, and knowledge retrieval. • Experience evaluating AI model performance and implementing experimentation frameworks. • Strong programming skills in Python and experience with modern software engineering practices. • Experience with AI frameworks such as LangGraph, LangChain, LlamaIndex, Semantic Kernel, CrewAI, AutoGen, or similar. • Experience with using AI coding assistants as part of your daily workflow. • Familiarity with REST APIs, cloud-native applications, and distributed software systems. • Strong analytical, problem-solving, and communication skills. • Intellect and curiosity for AI systems and how they behave. • Deep passion for experimenting with new AI techniques. • Background in evaluation, explainability, and continuous improvement. • Proven success with ownership of difficult technical challenges and collaboration across disciplines. • Experience optimizing autonomous or multi-agent AI systems. • Experience implementing automated AI evaluation frameworks. • Experience with OpenAI, Azure OpenAI, Anthropic Claude, Google Vertex AI, AWS Bedrock, or open-source LLMs. • Experience with vector databases including Pinecone, Weaviate, Qdrant, Milvus, or Azure AI Search. • Experience with Responsible AI, AI governance, safety, and explainability. • Familiarity with software engineering tools, code intelligence platforms, or developer productivity solutions. • Experience supporting healthcare, Federal Government, or other highly regulated environments. • Experience using AI coding assistants and autonomous agents as part of daily software development.
Responsibilities
• Advance Applied AI Capabilities • Design, prototype, and implement production-ready AI capabilities that improve reasoning, accuracy, explainability, and developer productivity. • Evaluate emerging LLMs, multimodal models, agent frameworks, and AI techniques to identify opportunities for platform advancement. • Rapidly prototype new AI capabilities and transition successful experiments into production. • Optimize Agent Performance • Improve autonomous and multi-agent workflows through prompt engineering, reasoning optimization, memory strategies, tool selection, and context management. • Continuously refine Retrieval-Augmented Generation (RAG) pipelines, retrieval strategies, embeddings, reranking, and grounding techniques. • Improve AI response quality through experimentation, benchmarking, and iterative optimization. • Evaluate AI Systems • Evaluate AI Systems • Develop evaluation frameworks that measure accuracy, groundedness, explainability, latency, and overall AI effectiveness. • Build benchmark datasets, automated evaluation pipelines, and performance metrics for production AI systems. • Analyze AI failures, hallucinations, retrieval gaps, and reasoning errors to drive continuous improvement. • Knowledge Engineer • Knowledge Engineer • Collaborate with software engineers to improve knowledge ingestion, document processing, semantic search, embeddings, and enterprise knowledge management. • Design approaches that maximize retrieval quality across large technical documentation and source code repositories. • Improve how AI agents discover, organize, and reason over enterprise knowledge. • Collaborate Across Engineer • Partner closely with AI architects, platform engineers, software engineers, and front-end engineers to improve the overall intelligence of the platform. • Help establish best practices for experimentation, evaluation, and AI quality throughout the organization.
Benefits
• The Opportunity to support high-visibility federal missions • A culture that 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 • If you’re ready to push boundaries, sharpen your skills, and join a team that is passionate about building what’s next, we’d love to meet you. Apply today and let’s build a future together!
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