Posted on: 08/09/2025
Key Responsibilities :
- Create and deploy AI agents for pricing, forecasting, and catalog automation tasks.
- Integrate Large Language Models (LLMs) and vision models via APIs.
- Set up Retrieval-Augmented Generation (RAG) pipelines for multilingual search.
- Develop and test prototypes in Python, track outcomes using LangSmith and Weights & Biases.
- Collaborate with brand teams to design agent capabilities and workflows.
- Optimize for low-latency inference and scalable deployment on cloud infrastructure.
Requirements :
- Hands-on experience with agent frameworks, LLMs, and vision models.
- Strong skills in RAG, prompt engineering, Python, and cloud infrastructure.
- Proven ability to work cross-functionally with engineers and business teams.
Good To Have :
- Familiarity with fine-tuning LLMs, building multimodal agents, or applying Reinforcement Learning for optimization.
- Contributions to open-source or published AI projects
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