
Large Language Model Architect
4 days ago
We are seeking a skilled and experienced Lead AI Developer to join our team. As a key member of our development team, you will be responsible for designing, building, and deploying large language models (LLMs) and generative AI (GenAI) systems.
Main Responsibilities:
- Architect and scale intelligent agents that drive automated workflows across global supply chains and corporate operations using LLMs and GenAI.
- Build and optimize retrieval-augmented generation (RAG) pipelines and multi-agent workflows using LangChain or LlamaIndex.
- Implement evaluation frameworks to measure agent performance, factuality, and robustness.
- Fine-tune and serve LLMs for sustainability-specific use cases, ensuring speed and relevance.
- Leverage vector databases for context injection and document grounding.
- Deploy inference stacks using vLLM, TGI, or Ollama; build modular, scalable agent architectures.
Requirements:
- Hands-on experience building with large language models, GenAI frameworks, or RAG systems.
- Proficiency in Python, Transformers, and modern GenAI frameworks.
- Demonstrated ability to design, evaluate, and ship agentic systems using real-world data.
- Strong understanding of prompt engineering, context handling, and model evaluation.
- Exposure to MLOps workflows — model deployment, monitoring, and lifecycle management.
Benefits:
- Become part of a fast-moving, deeply collaborative team with design, engineering, and domain depth.
- Solve global-scale sustainability problems with real-time, intelligent systems.
- Grow with us by building at the frontier of GenAI + Climate.
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