Senior Applied AI Engineer

🕒 July 30

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🤖 AI Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 15%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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LTS

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

🏥 Healthcare

💼 Consulting

📦 Logistics

Healthcare • Consulting • Logistics

LTS is a government-focused mission support and healthcare services firm that provides emergency response, occupational health, automated healthcare solutions, and enterprise consulting. It offers rapid nationwide deployment for disaster response, logistics and mass care, and delivers automated diagnostic kiosks, diagnostic lab testing, medical staffing, on-site clinics, and testing/vaccination management for underserved and remote populations. LTS also provides IT modernization, cloud and systems integration, cybersecurity and risk management, AI/ML and data analytics, and program management for federal, state, and local clients with strong compliance (HIPAA and federal standards) and public-sector acquisition experience.

📋 Description

• 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. • 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. • 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. • 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. • Partner closely with AI architects, platform engineers, software engineers, and front-end engineers to improve the overall intelligence of the platform. • Share research findings, experimental results, and engineering recommendations with cross-functional teams. • Help establish best practices for experimentation, evaluation, and AI quality throughout the organization.

🎯 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.

🏖️ 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