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1 week ago
We are seeking an experienced AI developer skilled in applying Large Language Models and building AI-driven applications to join our team. A significant part of this role involves designing and developing AI agents within our platform with an initial focus on integrating external LLM APIs via sophisticated prompt engineering and RAG techniques into these agents, built using Python + FastAPI.
You will architect the logic for these agents, enabling them to perform complex tasks within our e-commerce and retail data orchestration pipelines. Furthermore, as Ekyam.ai evolves, this role offers the potential to grow into customizing and deploying LLMs in-house, so adaptability and a strong foundation in ML/LLM principles are key.
Key Responsibilities- Design, develop, test, and maintain the core logic for AI agents within FastAPI services. Orchestrate agent tasks, manage state, interact with platform data/workflows, and integrate LLM capabilities.
- Integrate with external LLM provider APIs. Design, implement, and rigorously test effective prompts for diverse retail-specific tasks (generation, Q&A, summarization).
- Implement and optimize Retrieval-Augmented Generation patterns using vector databases to provide relevant context to LLM API calls made by agents.
- Build and maintain the scalable FastAPI microservices that host AI Agent logic and handle interactions with LLMs and other platform components in a containerized environment.
- Prepare and preprocess data required for effective prompt context, RAG retrieval, and potentially for future fine-tuning tasks.
- Work with cross-functional teams to deliver AI features. Stay updated on LLM advancements and be prepared to learn and contribute to potential future in-house LLM fine-tuning and deployment efforts.
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