
AI Expert Developer
2 days ago
We are seeking an experienced AI developer to join our team. The successful candidate will have 4-6 years of hands-on experience in software development with a strong focus on AI/ML application development.
- The ideal candidate will be skilled in applying large language models (LLMs) and building AI-driven applications.
A significant part of this role involves designing and developing AI agents within our platform. The agent will perform complex tasks within our e-commerce and retail data orchestration pipelines.
Key Responsibilities- Design, develop, test, and maintain the core logic for AI agents within FastAPI services.
- Integrate with external LLM provider APIs. Design, implement, and rigorously test effective prompts for diverse retail-specific tasks.
- Implement and optimize retrieval-augmented generation (RAG) patterns using vector databases.
- Build and maintain scalable FastAPI microservices that host AI agent logic.
- Prepare and preprocess data required for effective prompt context, RAG retrieval, and fine-tuning tasks.
To succeed in this role, you will need:
- 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.
- This role offers the potential to grow into customizing and deploying LLMs in-house.
- You will work effectively in an agile environment.
- Ability to work independently and collaborate effectively in a remote setting.
You will have the opportunity to learn and adapt towards future work involving deeper LLM customization and deployment.
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