

Generative AI Engineer
Will be instrumental in:
• Building scalable solutions to enhance advisory and wealth management workflows
• Integrating a technology stack with LLMs to support a range of use cases
• Accelerating the adoption of generative AI across the advisory and wealth management value chain
Will combine your technical expertise with business acumen to:
• Develop production-grade applications integrated with LLMs from concept to deployment
• Design and implement automated workflows for complex investment processes
• Collaborate with global teams to deliver high-impact solutions
The ideal candidate for this job should have:
• Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field. Strong software engineering fundamentals with hands-on development experience
• Strong problem-solving abilities and analytical mindset
• Proven ability to translate complex business requirements into technical solutions
• Natural curiosity and passion for emerging technologies
• Excellence in cross-functional collaboration and communication
• Excellent communication skills with technical and non-technical stakeholders
• Demonstrated ability to work in fast-paced, agile environments
• Comfort working with globally distributed teams
Responsibilities in this job include (but are not limited to):
• Design, develop, and deploy technology solutions integrated with LLMs for advisory and wealth management domain
• Evaluate and implement state-of-the-art generative AI models and frameworks and build proof-of-concept solutions
• Partner with stakeholders to translate business requirements into technical solutions and communicate complex AI concepts to non-technical stakeholders
• Work cross-functionally with data engineers, technologists and product owners to architect scalable, production-grade AI systems
• Optimize existing workflows and tools through AI automation while ensuring solutions meet performance, security, and compliance standards
• Mentor team members, perform code reviews, and contribute to technical architecture and documentation
Required Technical Skills:
• Advanced Python programming and experience with generative AI models with knowledge of prompt engineering, fine-tuning and RAG implementation
• Exll
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 project
Will be instrumental in:
• Building scalable solutions to enhance advisory and wealth management workflows
• Integrating a technology stack with LLMs to support a range of use cases
• Accelerating the adoption of generative AI across the advisory and wealth management value chain
Will combine your technical expertise with business acumen to:
• Develop production-grade applications integrated with LLMs from concept to deployment
• Design and implement automated workflows for complex investment processes
• Collaborate with global teams to deliver high-impact solutions
The ideal candidate for this job should have:
• Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field. Strong software engineering fundamentals with hands-on development experience
• Strong problem-solving abilities and analytical mindset
• Proven ability to translate complex business requirements into technical solutions
• Natural curiosity and passion for emerging technologies
• Excellence in cross-functional collaboration and communication
• Excellent communication skills with technical and non-technical stakeholders
• Demonstrated ability to work in fast-paced, agile environments
• Comfort working with globally distributed teams
Responsibilities in this job include (but are not limited to):
• Design, develop, and deploy technology solutions integrated with LLMs for advisory and wealth management domain
• Evaluate and implement state-of-the-art generative AI models and frameworks and build proof-of-concept solutions
• Partner with stakeholders to translate business requirements into technical solutions and communicate complex AI concepts to non-technical stakeholders
• Work cross-functionally with data engineers, technologists and product owners to architect scalable, production-grade AI systems
• Optimize existing workflows and tools through AI automation while ensuring solutions meet performance, security, and compliance standards
• Mentor team members, perform code reviews, and contribute to technical architecture and documentation
Required Technical Skills:
• Advanced Python programming and experience with generative AI models with knowledge of prompt engineering, fine-tuning and RAG implementation
• Exll
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 project