Lead AI Engineer

🕒 Abril 14

⚔️ Virginia – Remoto

⚔️ Virginia – Remote

💵 $98.500 - $206.800 / ano

⏰ Tempo Integral

🟠 Sênior

🤖 Engenheiro de IA

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CACI International Inc

SiteLinkedInTodas as Vagas

10.000+ funcionários

Fundada em 1962

🔒 Cibersegurança

Defense • IT • Cybersecurity

A CACI International Inc é uma empresa diversificada que oferece uma ampla gama de serviços e soluções, principalmente para os setores governamental e comercial dos EUA. A CACI se especializa em oferecer serviços de segurança, soluções de TI e suporte de inteligência, ajudando os clientes a aprimorar suas capacidades cibernéticas e proteger suas redes. A empresa é reconhecida por sua força de trabalho inovadora e pela tecnologia que oferece aos clientes em ambientes empresariais e críticos para a missão. A CACI está comprometida com a diversidade e inclusão, oferecendo uma variedade de oportunidades de carreira tanto para novos graduados quanto para profissionais experientes, incluindo veteranos.

Descrição

• Research, design and build Artificial Intelligence (AI) and Machine Learning (ML) solutions. • Help lay the foundation for future AI/ML initiatives while contributing to broader software development projects. • Work closely with a small cross-functional team to gather requirements, design, develop, and implement AI-driven features. • Create efficient ways to store and quickly access large amounts of relevant information. • Develop mechanisms to prevent the system from retrieving or generating inappropriate or harmful content. • Work with large language models to optimize their performance for specific tasks and domains. • Design and conduct tests to measure the system's accuracy, relevance, and overall performance. • Ensure seamless interaction between the retrieval system and the language model. • Attend daily standups, refinement sessions, and update agile project management system to ensure transparency. • Design and implement agentic workflows using supervisor and orchestration patterns with frameworks such as LangGraph, CrewAI, or similar multi-agent orchestration tools. • Establish observability and evaluation pipelines using tools like Langfuse, LangSmith, or similar platforms to monitor, trace, and assess LLM application performance.

🎯 Requisitos

• Bachelor's degree in computer science, software engineering, or a related field. • 7 years of software development experience with 2-5 years of relevant experience in NLP, machine learning, or AI development • Experience designing agentic flows using supervisor, routing, and hierarchical patterns with frameworks such as LangGraph or equivalent • Experience with Linux and Linux based terminals • Understanding of RAG architecture and principles, experience implementing RAG systems, and familiarity with popular RAG frameworks and tools. • Knowledge of security best practices for AI systems • Strong programming skills, particularly in Python, Javascript, rust, golang • Experience with vector databases, embedding techniques, and data pipelines • Experience with information retrieval systems • Experience with RESTful APIs and Cloud Services (AWS, OCI) • Experience with data preprocessing, normalization, cleaning, encoding data into vector representations • Knowledge of text analytics and semantic search techniques • Experience with prompt engineering • Experience working with multiple teams in an agile environment, with data scientists, UI/UX designers, and subject matter experts to improve the overall system. • Self-motivated with ability to quickly adapt and learn emerging disciplines and techniques. • Active Secret or Top-Secret clearance (desired) • Familiarity with version control systems (e.g., Git) (desired) • Experience with containerization (e.g., Docker) (desired) • Experience with relational databases, including schema design (desired) • Experience implementing observability, tracing, and evaluation frameworks for LLM-based applications (desired) • Understanding of CI/CD pipelines (desired)

🏖️ Benefícios

• healthcare • wellness • financial • retirement • family support • continuing education • time off benefits