Senior AI Engineer

Job Description:

Qualification & Experience

• Solid grasp of Python, including experience building production systems in cloud environments and working with big data warehouses (preferably Snowflake).
• Hands on experience with AI/LLM engineering, Agentic AI, including building applications using LangChain, LlamaIndex, or similar LLM orchestration frameworks.
• Hands-on experience with Snowflake Cortex, including building or integrating AI/ML pipelines using Cortex functions and services.
• Integrating LLMs (OpenAI, Azure OpenAI, Anthropic, etc.) into production systems.
• 7+ years of relevant software engineering experience.
• 3+ years delivering application solutions, ideally using big data technologies.
• Demonstrated ability to contribute independently while collaborating effectively as part of a team on high profile projects.
• Some knowledge of, or willingness to learn, technologies such as Snowpark, AWS Lambda, Terraform Oracle and Hive
• Unit and Integration testing your code (including mocking)
• Proficient with version-control solutions using Git
• Continuous integration (Gitlab, Bamboo, Jenkins) and/or deployment (Terraform)
• Knowledge of embedding models, vector search optimization, and LLM observability/monitoring tools.
• Experience working in Agile Scrum methodologies
• Linux and bash/ruby scripting
• Understanding of FX financial markets