Description
Accountabilities
- Develop, integrate, and maintain AI-powered solutions that support order processing and operational workflows within the OMS ecosystem.
- Design, test, and optimize prompts to improve the accuracy, reliability, and usefulness of LLM-powered applications.
- Build and maintain RAG pipelines that enable accurate retrieval and use of structured and unstructured data.
- Integrate AI models and conversational workflows with internal APIs, relational databases, and external retail and logistics tools.
- Support LLMOps activities by monitoring model performance in production, tracking hallucinations and latency, and observing token consumption and associated costs.
- Collaborate with product specialists and cross-functional teams to translate OMS business rules into simple, effective AI-driven and agent-based solutions.
- Rapidly prototype and implement solutions that address immediate operational needs and reduce manual tasks and analysis time for operations teams.
- Contribute to the ongoing improvement and progressive redesign of the product architecture.
- Identify opportunities to accelerate delivery, improve workflows, and increase the overall efficiency of the product and its users.
- Requirements: Strong Python programming skills, including data structures, object-oriented programming, and the development and consumption of REST APIs.
- Practical experience integrating LLM APIs, such as OpenAI, Gemini, Anthropic, or similar platforms.
- Familiarity with AI
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