
AI Innovator
1 semana atrás
This role focuses on designing and deploying end-to-end agentic pipelines for structured and unstructured energy data. You'll work with cross-functional teams to develop intelligent systems powered by Large Language Models (LLMs) and Machine Learning (ML). The ideal candidate has 7+ years of professional software development experience, 5+ years deploying ML systems in production, and 3+ years building with LLMs.
- Design and deploy scalable APIs and AI services using modern frameworks.
- Integrate with cloud-native platforms and modern data infrastructure.
- Develop models for contract intelligence, price forecasting, and energy portfolio optimization.
To succeed in this role, you'll need:
- 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 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.
We offer a range of benefits, including:
- Professional growth opportunities through mentorship and training.
- A competitive compensation package.
- Flextime options to balance work and personal life.
Additional requirements include:
- Upper-Intermediate English level.
- Ability to collaborate with cross-functional teams.
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