Senior Applied AI Engineer

🕒 Julho 30

🇺🇸 Estados Unidos – Remoto (EUA)

⏰ Tempo Integral

🟠 Sênior

🤖 Engenheiro de IA

🦅 Patrocina Visto H1B

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LTS

SiteLinkedInTodas as Vagas

1001 - 5000 funcionários

🏥 Saúde

💼 Consultoria

📦 Logística

Healthcare • Consulting • Logistics

A LTS é uma empresa voltada para apoio a missões governamentais e serviços de saúde, oferecendo resposta a emergências, saúde ocupacional, soluções automatizadas de saúde e consultoria corporativa. Ela proporciona rápida mobilização em todo o país para resposta a desastres, logística e assistência em massa, além de oferecer quiosques de diagnóstico automatizado, testes laboratoriais, pessoal médico, clínicas no local e gestão de testes/vacinação para populações carentes e remotas. A LTS também oferece modernização de TI, integração de nuvem e sistemas, cibersegurança e gestão de riscos, IA/ML e análise de dados, e gestão de programas para clientes federais, estaduais e locais, com forte conformidade (padrões HIPAA e federais) e experiência em aquisições no setor público.

Descrição

• 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.

🎯 Requisitos

• 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.

🏖️ Benefícios

• 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