AI Engineer

🕒 Outubro 21

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $105.100 - $231.100 / ano

⏰ Tempo Integral

🟠 Sênior

🔴 Especialista

🤖 Engenheiro de IA

👻 Score fantasma 0%

O que significa: a chance de ninguém estar realmente contratando para esta vaga.Como ler: 60% ou mais significa que achamos que é uma vaga fantasma. Pontuações mais baixas preocupam menos.Como pontuamos: tempo em aberto, republicações, vagas abertas vs tamanho do time, rapidez para fechar vagas, e se o salário está divulgado.Observação: é uma estimativa de dados públicos, não um julgamento da empresa. Vagas reais podem ter pontuação alta, então use como uma dica, não como um fato.

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CACI International Inc

SiteLinkedInTodas as Vagas

10.000+ funcionários

Fundada em 1962

🎖️ Defesa

🏛️ Governo

🔒 Cibersegurança

🔥 Investimento no último ano

💰 $500.000.000 Post-IPO Debt em 2026-02

Defense • Government • Cybersecurity

A CACI International Inc é uma empresa norte-americana contratada pelo governo que fornece tecnologias e serviços profissionais para clientes de segurança nacional, defesa e órgãos civis federais. A CACI oferece soluções em operações cibernéticas e digitais, modernização de TI corporativa, guerra eletrônica, sistemas contra veículos não tripulados (C-UxS), comunicações espaciais e ópticas, desenvolvimento de software ágil com DevSecOps e engenharia de missão e suporte logístico. A empresa se posiciona como uma grande prime contractor que utiliza software, analytics, sensoriamento e hardware avançados para detectar e neutralizar ameaças em evolução, além de modernizar as arquiteturas tecnológicas do governo.

Descrição

• Design, develop, test, document, and maintain AI-enabled applications and services • Implement AI and agent workflows using LangChain, Microsoft Agent Framework, or other suitable frameworks and services • Develop RAG capabilities, including data ingestion, retrieval, grounding, and integration with authorized enterprise information sources • Integrate AI models with APIs, enterprise applications, and business workflows, including appropriate tool use and human review • Work with product owners, users, and functional specialists to translate needs into technical designs, user stories, and acceptance criteria • Develop and maintain application components, APIs, and services using Python and established software engineering practices • Create and execute automated tests and evaluations for accuracy, relevance, grounding, safety, and performance • Troubleshoot application and model behavior using test results, telemetry, and user feedback • Support deployment and operations, including CI/CD, monitoring, documentation, incident resolution, and ongoing maintenance • Apply security and privacy requirements, including identity and access controls, authorization-aware retrieval, and protection of sensitive data • Collaborate with data, cloud, cybersecurity, DevSecOps, and software engineering teams • Contribute reusable components, technical documentation, and engineering practices • Support implementation of alignment controls in AI LLMs and agents • Contribute to AI safety/alignment policies and procedures for ethical, controllable, and aligned AI systems and agents

🎯 Requisitos

• Bachelor's degree + 10 years of experience in artificial intelligence, machine learning, software engineering, or related field; equivalencies considered (Master's + 7 years; 16 years with no degree; AA + 12 years) • At least five years of experience in software engineering, application development, AI/ML engineering, or a related technical field • Demonstrated experience developing software applications or services using Python and APIs • Hands-on experience building generative AI or machine learning applications that integrate models with data, applications, or workflows • Experience using LangChain, Microsoft Agent Framework, or a comparable framework to build AI or agent-based capabilities • Understanding of RAG, prompt and context design, model or application evaluation, and integration with enterprise data • Experience with automated testing, version control, and CI/CD practices • Familiarity with cloud-based application development and deployment; experience with Microsoft Azure is preferred • Understanding of secure software development and the need to protect sensitive information and restrict access to enterprise data • Ability to work collaboratively with technical teams, product staff, and functional stakeholders, and to communicate technical work clearly • Desired: Experience developing production applications using both LangChain and Microsoft Agent Framework • Desired: Experience with LangGraph or other approaches for building stateful, multi-step agent workflows • Desired: Experience with Azure OpenAI, Azure AI services, or Azure AI Foundry • Desired: Experience implementing authorization-aware RAG, data filtering, and access controls for retrieval and tool use • Desired: Experience with AI evaluation methods, test sets, tracing, observability, and monitoring for quality, latency, and cost • Desired: Experience integrating AI applications with enterprise systems, microservices, and web interfaces • Desired: Familiarity with responsible AI practices, including human review, explainability, and safe handling of uncertain or unsupported outputs • Relevant cloud, AI, or software engineering certifications are desired • Familiarity with AI safety frameworks such as the NIST AI Safety Framework • Ability to contribute to AI safety/alignment policies and procedures

🏖️ Benefícios

• Flexible time off benefit • Robust learning resources • Healthcare benefits • Wellness benefits • Financial benefits • Retirement benefits • Family support benefits • Continuing education benefits • Time off benefits • Competitive compensation • Learning and development opportunities

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