In this pivotal role, you will collaborate with subject matter experts to build engaging, impactful content and deliver workshops tailored to diverse audiences, including developers, and other technical and non-technical users.

This role requires a strong understanding of AI concepts, developer workflows, and software development practices, coupled with exceptional communication and facilitation skills.

You will play a key role in ensuring our teams stay ahead of the curve in AI knowledge and application, driving innovation and competitive advantage across the firm.

The ideal candidate excels at adapting their communication style to suit different audiences, and is passionate about teaching and empowering others.

Responsibilities:

Developer Enablement and Advocacy

• Act as a champion for AI adoption and best practices within the organization, enabling developers to build and deploy AI-driven solutions.

• Tinker with and experiment with new AI tools, frameworks, and workflows to understand their potential applications and limitations.

• Identify and document best practices for integrating AI technologies into developer workflows, including coding, testing, deployment, and monitoring.

Content Development and Collaboration

• Design and develop engaging training content, including in-person workshops, virtual sessions, hands-on labs, and technical documentation, with a focus on developer enablement.

• Collaborate with AI subject matter experts and technical teams to create practical, actionable educational materials tailored to developers and engineers.

• Ensure training content stays up to date with the latest AI trends, tools, and methodologies.

Training Delivery

• Facilitate engaging and impactful training sessions for diverse groups, including developers, portfolio managers, and business leaders.

• Adapt tone, style, and delivery methods to suit the audience’s knowledge level and professional background.

• Travel as needed to conduct workshops and training sessions at various locations.

Qualifications/Skills Required:

Technical Expertise:

• Strong understanding of AI concepts, tools, and frameworks (e.g, common AI developer tools, consumer LLM products, AI agents, AI harnesses, tradeoffs required to use LLMs for different tasks)

• Familiarity with developer workflows, software development processes, and tools (e.g., Git, CI/CD pipelines, IDEs, etc.)

• Hands-on experience experimenting with AI tools and frameworks, with the ability to distill insights into practical guidance for developers.

Training and Facilitation:

• Proven experience designing and delivering technical training programs, workshops, or hands-on labs.

• Exceptional communication and facilitation skills, with the ability to engage and inspire technical audiences.

• Experience tailoring content and delivery methods to meet the needs of diverse audiences, including developers, engineers, and non-technical stakeholders.

• Experience designing and iterating training programs based on participant feedback and industry trends.

Collaboration Mindset:

• Ability to build relationships across technical and non-technical teams, acting as a trusted advisor and advocate for AI adoption.

• Passion for community building and enabling others to succeed.

• Curiosity and enthusiasm for experimenting with new technologies and sharing best practices.

• Comfort with ambiguity and a willingness to adapt to a rapidly evolving technology landscape.

• Strong desire to empower others and foster a learning culture within the organization.

Travel:

• Willingness to travel as needed to deliver training sessions at different locations.

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Our technology teams are looking for Software Engineers with C++, Python, or Java to design, implement, and maintain systems supporting our technology business functions.

Candidate is expected to:

• Work closely with technology teams to develop requirements and specifications for varying projects
• Take part in the development and enhancement of the backend distributed system
• Apply AI/ML (deep learning, natural language processing, large language models) to practical and comprehensive technology solutions

Qualifications/Skills Required:

• 2-5 years of experience working with C++, Python, or Java
• Experience with ML libraries, Pandas, NumPy, FastAPI (Python), Boost (C++), Spring Boot (Java)
• Must be comfortable working in both Unix/Linux and Windows environments
• Good understanding of various design patterns
• Strong analytical and mathematical skills along with an interest/ability to quickly learn additional languages and quantitative concepts
• Solid communication skills
• Able to work collaboratively in a fast-paced environment with a passion to solving complex problems
• Detail oriented, organized, demonstrating thoroughness and strong ownership of work

Desirable Skills/Knowledge:

• Bachelor or Master's degree in Computer Science, Applied Mathematics, Statistics, Data Science/ML/AI, or a related technical or engineering field
• Demonstrable passion for developing LLM-powered products whether that is through commercial experience or open source/academic projects you have worked on in your own time
• Hands-on experience building ML and data pipeline architectures
• Understanding of distributed messaging systems
• Experience with Docker/Kubernetes, microservices architecture in a cloud environment (AWS, GCP preferred)
• Experience with relational and non-relational database platforms

XML job scraping automation by YubHub

In this pivotal role, you will collaborate with subject matter experts to build engaging, impactful content and deliver workshops tailored to diverse audiences, including developers, and other technical and non-technical users.

This role requires a strong understanding of AI concepts, developer workflows, and software development practices, coupled with exceptional communication and facilitation skills.

You will play a key role in ensuring our teams stay ahead of the curve in AI knowledge and application, driving innovation and competitive advantage across the firm.

Responsibilities:

Developer Enablement and Advocacy

• Act as a champion for AI adoption and best practices within the organization, enabling developers to build and deploy AI-driven solutions.

• Tinker with and experiment with new AI tools, frameworks, and workflows to understand their potential applications and limitations.

• Identify and document best practices for integrating AI technologies into developer workflows, including coding, testing, deployment, and monitoring.

Content Development and Collaboration

• Design and develop engaging training content, including in-person workshops, virtual sessions, hands-on labs, and technical documentation, with a focus on developer enablement.

• Collaborate with AI subject matter experts and technical teams to create practical, actionable educational materials tailored to developers and engineers.

• Ensure training content stays up to date with the latest AI trends, tools, and methodologies.

• Refine and iterate training content based on feedback to ensure continuous improvement and relevance.

Training Delivery

• Facilitate engaging and impactful training sessions for diverse groups, including developers, portfolio managers, and business leaders.

• Adapt tone, style, and delivery methods to suit the audience’s knowledge level and professional background.

• Travel as needed to conduct workshops and training sessions at various locations.

Qualifications/Skills Required:

Technical Expertise:

• Strong understanding of AI concepts, tools, and frameworks (e.g, common AI developer tools, consumer LLM products, AI agents, AI harnesses, tradeoffs required to use LLMs for different tasks)

• Familiarity with developer workflows, software development processes, and tools (e.g., Git, CI/CD pipelines, IDEs, etc.)

• Hands-on experience experimenting with AI tools and frameworks, with the ability to distill insights into practical guidance for developers.

Training and Facilitation:

• Proven experience designing and delivering technical training programs, workshops, or hands-on labs.

• Exceptional communication and facilitation skills, with the ability to engage and inspire technical audiences.

• Experience tailoring content and delivery methods to meet the needs of diverse audiences, including developers, engineers, and non-technical stakeholders.

• Experience designing and iterating training programs based on participant feedback and industry trends.

Collaboration Mindset:

• Ability to build relationships across technical and non-technical teams, acting as a trusted advisor and advocate for AI adoption.

• Passion for community building and enabling others to succeed.

• Curiosity and enthusiasm for experimenting with new technologies and sharing best practices.

• Comfort with ambiguity and a willingness to adapt to a rapidly evolving technology landscape.

• Strong desire to empower others and foster a learning culture within the organization.

Travel:

• Willingness to travel as needed to deliver training sessions at different locations.

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