Description

You will design and build advanced AI systems at an architectural level.

Responsibilities

• Architect Retrieval Augmented Generation (RAG) systems and LLM-based knowledge platforms.
• Design data pipelines, APIs, and event-driven systems.
• Implement solutions involving vector search, fine-tuning, and embeddings.
• Apply expertise in document AI and NLP for unstructured data processing.

Required Skills

• 12+ years in AI, ML, or enterprise architecture roles.
• Proven track record architecting RAG systems and vector search.
• Strong hands-on experience with Python.
• Proficiency with Cloud ML platforms, specifically Azure.
• Experience with Vector DBs like Pinecone or DB Vector.
• Familiarity with orchestration frameworks such as LangChain or LlamaIndex.
• Experience with Docker and Kubernetes (K8s).
• Expertise in document chunking, knowledge graphs, and vectorization.
• Experience in financial services, particularly commercial real estate credit or asset management.

Key Skills

Education

Any Gradute