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