
Senior AI Developer
3 days ago
We are seeking an experienced AI professional to join our growing team.
- Key Responsibilities
You will design and develop AI-driven applications using large language models (LLMs) and build sophisticated AI agents within our platform. Your primary focus will be on integrating external LLM APIs, such as OpenAI, Anthropic, or Google, via prompt engineering and RAG techniques into these agents built using Python and FastAPI.
You will also architect the logic for these agents, enabling them to perform complex tasks within our e-commerce and retail data orchestration pipelines. Additionally, as our company evolves, this role offers potential growth opportunities in customizing and deploying LLMs in-house.
Main Job Tasks:- 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 (RAG) patterns using vector databases to provide relevant context to LLM API calls made by agents.
- Build and maintain scalable FastAPI microservices that host AI Agent logic and handle interactions with LLMs and other platform components in a containerized environment (Docker, Kubernetes).
- Prepare and preprocess data required for effective prompt context, RAG retrieval, and potentially for future fine-tuning tasks.
- Collaborate with cross-functional teams to deliver AI features and stay updated on LLM advancements.
Due to the high volume of applications we cannot personally respond to every applicant, however, if you have not heard back from us within 10 days please assume your application has been unsuccessful on this occasion.
RequirementsTo succeed in this role, you will need:
- A strong background in software development with a 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.
- Ability to work effectively in an agile environment.
- Willingness and capacity to learn and adapt towards future work involving deeper LLM customization and deployment.
- Bachelor's or Master's degree in Computer Science, AI, or a related field.
- Ability to work independently and collaborate effectively in a remote setting.
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