Required Technical Skills:
Advanced Python programming and experience with generative AI models with knowledge of prompt engineering, fine-tuning and RAG implementation
Experience with AI platforms like Amazon Bedrock, Microsoft Copilot Studio,
Strong foundation in cloud computing, containerization, and proficiency with version control systems (Git) and CI/CD pipelines
Deep understanding of LLM capabilities, responsible AI practices, and experience with RAG architectures and vector databases
Building and maintaining RESTful APIs, and understanding web architecture and microservices
Experience with AWS services, cloud-native architectures, scalable and secure deployment patterns, and familiarity with monitoring and observability tools
Ability to handle large-scale datasets, data engineering principles, and knowledge of automated workflow design and implementation
What we will look for in an ideal candidate:
Engineering graduate or Masters (Stats, Quant, Mathematics, etc.)
Preferred Additional Experience:
Financial services or wealth management background
Experience with web scraping and data extraction techniques
Open-source contributions or side development projects