Chief Energy Data Scientist

Há 12 horas

Manaus, Amazonas, Brasil beBeeArtificial Tempo inteiro US$160.000 - US$200.000
Senior AI Engineer

AgileEngine is an award-winning software creator for Fortune 500 brands and startups across multiple industries.

We excel in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.

Job Description:

We're seeking a deeply technical and product-minded Senior AI Engineer to design, build, and deploy real-world AI systems that drive meaningful outcomes for energy procurement and management.

You'll collaborate with cross-functional teams to develop intelligent systems powered by LLMs and ML.

  • Design 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.
Key Qualifications:
  • 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.

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