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2 weeks ago
As a Generative AI Developer, you will drive business impact in the Retail and Consumer Packaged Goods (CPG) domain by leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and prompt engineering.
Key Responsibilities- Develop GenAI solutions using LLMs such as GPT, Claude, LLaMA, or open-source equivalents.
- Build and optimize RAG pipelines leveraging vector databases and embedding models.
- Engineer, evaluate, and refine prompts to improve output accuracy and relevance across different use cases.
- Collaborate with data scientists, engineers, and retail/CPG domain experts to identify high-impact AI opportunities.
- Monitor, maintain, and fine-tune deployed models to ensure performance, scalability, and business alignment.
- Stay current on advancements in the GenAI and LLM ecosystem and assess applicability to ongoing and future initiatives.
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related discipline.
- 3+ years of hands-on experience with LLMs, NLP, and GenAI development.
- Strong understanding and implementation experience of RAG-based architectures.
- Proficient in Python, with working knowledge of frameworks and libraries like HuggingFace, LangChain, OpenAI APIs, and Transformers.
- Familiar with embedding techniques and vector databases.
- Demonstrated ability to translate retail/CPG-specific business challenges into scalable AI solutions.
- Experience deploying AI solutions in cloud environments.
- Be at the forefront of innovation by applying GenAI to real-world retail/CPG challenges.
- Work in a dynamic, fast-paced, and intellectually stimulating environment.
- Collaborate with cross-functional teams across data science, engineering, and domain consulting.
- Enjoy flexibility through a hybrid/remote work model and opportunities for continuous learning.
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