Advanced Technology Specialist

1 dia atrás

Blumenau, Santa Catarina, Brasil beBeeAIEngineer Tempo inteiro US$125.000 - US$175.000

Job Opportunity:

We are seeking a highly skilled and experienced professional to help design, build, and deploy real-world AI systems that drive meaningful outcomes for energy procurement and management. The ideal candidate will collaborate cross-functionally with product, engineering, and data infrastructure teams to develop intelligent systems powered by LLMs and ML.

About the Role:

  • Design and deploy end-to-end pipelines for structured and unstructured energy data;
  • Build and fine-tune LLM applications using RAG, vector databases, and knowledge graphs;
  • Develop models for contract intelligence, price forecasting, and energy portfolio optimization;
  • Deliver scalable APIs and AI services using FastAPI, Flask, or similar frameworks;
  • Integrate with cloud-native platforms (AWS, GCP) and modern data infrastructure;
  • Mentor peers and contribute to best practices in applied AI and ML engineering;

Required Skills:

  • 7+ years of professional software development experience;
  • 5+ years deploying machine learning systems in production;
  • 3+ years building with LLMs, both locally-hosted and API-based;
  • Expertise in Python and libraries like PyTorch, TensorFlow, and Hugging Face;
  • Hands-on experience with agentic pipelines, RAG, vector search, and prompt engineering;
  • Deep familiarity with cloud platforms (AWS, GCP, Azure) and tools like Docker, Kubernetes;
  • Experience designing scalable microservices and REST APIs for AI inference workflows;
  • Excellent verbal and written communication skills;
  • Systems-level thinking with a product mindset;
  • Upper-Intermediate English level.

Benefits:

  • Rank among leaders in areas like application development and AI/ML;
  • People-first culture with multiple Best Place to Work awards;
  • Competitive compensation and budgets for education, fitness, and team activities;
  • Flexible work arrangements for optimal work-life balance;

Nice to Have:

  • Experience in an early-stage startup environment;
  • Experience in energy, sustainability, or infrastructure tech;
  • A commitment to ethical, socially responsible AI;
  • Online thought-leadership, contributions to open-source AI/ML projects and research.

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