
AI Development Expert
2 days ago
We're seeking an experienced AI developer to join our team.
A significant part of this role involves designing and developing AI agents within our platform, focusing on integrating external Large Language Model (LLM) APIs via sophisticated prompt engineering and Retrieval-Augmented Generation (RAG) techniques. This includes architecting the logic for these agents, enabling them to perform complex tasks within our e-commerce and retail data orchestration pipelines.
Key Responsibilities:- Design, develop, test, and maintain AI agent logic in FastAPI services.
- Integrate with external LLM provider APIs and design effective prompts for diverse retail-specific tasks.
- Implement and optimize RAG patterns using vector databases to provide relevant context to LLM API calls.
- Build and maintain scalable FastAPI microservices hosting AI agent logic and handling interactions with LLMs and other platform components.
- Prepare and preprocess data required for effective prompt context, RAG retrieval, and fine-tuning tasks.
- Collaborate with cross-functional teams to deliver AI features and stay updated on LLM advancements.
- 4–6 years of hands-on experience in software development with a strong focus on AI/ML application development.
- Demonstrable experience integrating and utilizing external LLM APIs.
- Proven experience with Prompt Engineering techniques.
- Strong Python programming skills.
- Practical experience building and deploying RESTful APIs using FastAPI.
- Experience designing and implementing application logic for AI-driven features or agents.
- Understanding and practical experience with RAG concepts and vector databases.
- Solid understanding of core Machine Learning concepts and familiarity with frameworks like PyTorch, TensorFlow, or Hugging Face.
- Familiarity with cloud platforms and containerization for application deployment.
- Solid problem-solving skills and clear communication abilities.
- Experience working effectively in an agile environment.
- Bachelor's or Master's degree in Computer Science, AI, or a related field.
- Experience with frameworks like LangChain or LlamaIndex.
- Experience with observability and debugging tools for LLM applications.
- Experience with graph databases and query languages.
- Experience with MLOps practices applicable to both current application monitoring and future model lifecycle management.
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