Senior AI Engineer

Vaga não está no LinkedIn

🕒 Junho 30

🇺🇸 Estados Unidos – Remoto (EUA)

⏰ Tempo Integral

🟠 Sênior

🤖 Engenheiro de IA

🦅 Patrocina Visto H1B

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🗣️🇺🇸🇬🇧 Inglês obrigatório

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Logo of Aimpoint Digital

Aimpoint Digital

51 - 200 funcionários

🤖 Inteligência Artificial

💼 Consultoria

Artificial Intelligence • Analytics • Consulting

A Aimpoint Digital é uma empresa líder de mercado em consultoria e engenharia de soluções em análises, engenharia de dados, pesquisa operacional e Inteligência Artificial. Ela capacita organizações a desbloquear valor a partir de dados, fornecendo orientação estratégica, desenvolvendo soluções de IA de ponta e implementando aplicações analíticas avançadas. A Aimpoint Digital colabora com diversas empresas para aprimorar operações, promover decisões baseadas em dados e maximizar o retorno sobre o investimento por meio de estratégias de dados personalizadas e soluções de otimização.

Descrição

• Design, build, and deploy production AI applications, copilots, retrieval systems, and agentic workflows • Translate business problems into scalable technical solutions using modern AI engineering best practices • Develop backend services, APIs, and application architectures that integrate AI capabilities into enterprise systems • Build multi-agent systems, AI agents, workflow automation, and decision-support systems • Deploy AI solutions into production with appropriate security, observability, monitoring, evaluation, and governance • Design AI systems that integrate with enterprise data platforms, APIs, databases, messaging systems, and business applications • Collaborate with cross-functional client teams including engineering, data, product, architecture, security, and business stakeholders • Experience deploying and operating containerized applications on Kubernetes, including scaling, service networking, resource management, and production monitoring • Contribute reusable accelerators, frameworks, technical assets, and thought leadership that strengthen the AI Engineering practice • Stay current with emerging AI technologies and recommend practical approaches that improve client outcomes

🎯 Requisitos

• Bachelor's degree in Computer Science, Engineering, Mathematics, or equivalent practical experience • 3+ years of professional software engineering experience building production applications • 1+ years designing and deploying AI or machine learning solutions into production • Strong programming experience using Python, Java, C#, Go, TypeScript, or similar languages • Experience building scalable backend systems, APIs, or distributed applications • Experience developing AI applications using modern LLMs, machine learning models, or intelligent automation solutions • Experience with online and offline evaluation, observability, context engineering, guardrails, and AI governance • Experience with MLOps, LLMOps, or production deployment pipelines • Strong understanding of software engineering principles, including testing, version control, CI/CD, code reviews, and system design • Experience using Claude Code, OpenAI Codex, Google Antigravity, Cursor, GitHub Copilot, or other comparable coding harnesses • Experience integrating AI applications with enterprise data sources, APIs, and business systems • Familiarity with cloud platforms such as AWS, Azure, GCP, Databricks, Snowflake, or similar technologies • Experience deploying applications using containers, Kubernetes, serverless platforms, or similar cloud-native technologies • Strong communication skills with the ability to explain technical concepts to both technical and non-technical stakeholders • Ability to independently own technical workstreams while collaborating across multidisciplinary teams.

🏖️ Benefícios

• Health insurance • Professional development opportunities • 401(k) matching

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