AI developer

Tech Stack: ∙ Python (5+ years) ∙ Strong working knowledge of SQL for data extraction and analysis (3+ years preferred) ∙ API integration with LLMs: OpenAI, Azure OpenAI, Claude ∙ ML/LLM architectures: RAG, embeddings, retrievers ∙ DevOps/MLOps: Docker, deployment of models on dedicated servers or cloud infrastructure ∙ Nice to have: FastAPI, vector databases (FAISS, Weaviate), prompt engineering ∙ Tools under consideration: LangChain or similar frameworks for rapid prototyping of LLM-based pipelines Responsibilities: ∙ Design and build a production-grade LLM+RAG system for contextual data analysis ∙ Integrate external data sources and tools into the assistant’s knowledge base ∙ Set up and fine-tune LLMs on dedicated infrastructure or in the cloud ∙ Develop complex multi-step agents and orchestrated pipelines ∙ Build integrations with different platforms via API ∙ Ensure performance, scalability, and CI/CD automation of the ML systems Requirements: ∙ Proven experience building real-world AI/ML products ∙ Deep understanding of the full machine learning lifecycle ∙ Experience working with popular LLM APIs and frameworks ∙ Ability to work independently and propose technical solutions ∙ Hands-on experience with LLM+RAG design patterns and prompt engineering