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
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