Gen AI Senior Software Engineer

Role: Gen AI Senior Software Engineer

Location: Minneapolis MN (Onsite)

Duration: Long Term Contract

Experience: 12+ years

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
• 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

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Role: Gen AI Senior Software Engineer

Location: Minneapolis MN (Onsite)

Duration: Long Term Contract

Experience: 12+ years

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
• 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

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.