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Senior AI Engineer

* Salário: R$ 2.000 a R$ 5.000 por mês (estimado)

* O valor exibido é uma estimativa calculada com base em dados públicos e referências do mercado. Não garantimos que este seja o salário oferecido para esta vaga específica.

Área: Outros

Nível: Senior

We are building AI products and need a Senior AI Engineer to design, ship, and scale solutions across diverse business use cases. You will apply LLMs, RAG, and multimodal learning to targeted product problems while shaping our AI platform with strong autonomy and close alignment with Engineering leads—apply now.

Responsibilities

  • Design, develop, and own delivery of scalable AI systems and components for multiple product use cases and business applications
  • Build, test, and integrate AI solutions such as LLMs (open and closed source), RAG pipelines, MCP servers, agents, or prompt orchestration layers
  • Collaborate with product team members and other stakeholders to define technical requirements and implementation plans
  • Partner with multiple Engineering teams to integrate solutions end-to-end and ensure the quality and effectiveness of deployed systems
  • Implement fast-turnaround AI solutions to address urgent product and operational needs
  • Contribute to the development and evolution of our AI platform
  • Optimize AI solutions for performance, cost, and maintainability at scale
  • Stay current with emerging trends in AI and ML
  • Evaluate new tools, models, and technologies for potential adoption

Requirements

  • At least 3 years of relevant experience in AI or machine learning engineering roles
  • Hands-on experience building and deploying AI/ML systems, preferably in production environments
  • Strong experience with SQL for data querying and management, plus in-memory data storage technologies for high-performance applications
  • Practical experience with LLM ecosystems and modern GenAI technologies such as OpenAI, Anthropic, Hugging Face, and LangChain
  • Solid understanding of cloud infrastructure (AWS, GCP, or Azure) and modern MLOps workflows for scalable AI deployment
  • Experience working with vector databases and inference engines to enable efficient AI model operations
  • Familiarity with frontend frameworks such as Angular or React to collaborate with UI teams, though not required
  • Excellent problem-solving skills with the ability to clearly explain complex technical concepts
  • Proven ability to work effectively in cross-functional teams
  • Good English communication skills (B2+ level or higher) and experience in client-facing communications, including direct interaction with stakeholders

Nice to have

  • Coding experience in one or more server-side languages such as GoLang or PHP for backend development and integration
  • Proficiency in JavaScript for scripting and automation tasks
  • Experience with TypeScript for building robust and maintainable web applications