AI Engineer

• Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field; advanced degree preferred.
• 5-8+ years' experience in software engineering or ML/AI engineering, ideally including work in financial services, asset management, or other regulated industries.
• Strong proficiency in Python and common AI/ML and LLM frameworks (e.g., PyTorch, TensorFlow, LangChain, LlamaIndex, Hugging Face).
• Hands on experience designing and deploying LLM based applications, including RAG, tool calling, and agent frameworks.
• Practical experience with Model Context Protocol (MCP) or similar standardized integration approaches for connecting LLMs to external tools, data sources, and workflows (e.g., building MCP servers/clients, configuring hosts, managing tools and resources).
• Familiarity with modern data and ML platforms, and orchestration tools.
• Experience with APIs, microservices, and containerization (REST, gRPC, Docker, Kubernetes) and with securing integrations across internal and SaaS environments.
• Working knowledge of cloud-based AI/ML services (Azure) and associated security and networking patterns.

Excellent communication and collaboration skills, with the ability to translate between technical detail, business value, and risk considerations.