Responsibilities:

• Assist in the development and testing of Generative AI applications by crafting specific context-aware prompts for health insurance related topics.
• Collaborate with domain experts to ensure prompts align with industry standards and regulations to ensure that the AI-generated content is accurate, free from bias, and compliant.
• Work closely with business partners, product managers, and data scientists to ensure that the AI-generated content meets quality standards and serves its intended purpose.
• Optimize prompt quality and performance by analyzing the effectiveness of existing prompts and refining them to enhance AI model performance.
• Stay current with AI advancements to leverage cutting-edge techniques and adapt your prompts to new language models and algorithms.
• Support ongoing monitoring, tracking, and testing of Generative AI applications including pilots and production deployments.
• Provide guidance and training to users of Generative AI applications on best practices for creating effective prompts.
• Document best practices for prompt design.

Requirements & Skills:

• Bachelor’s or Advanced Degree where required
• 5+ Years of Experience
• In lieu of a degree, 7+ years of experience

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Responsibilities:

• Design, develop, and iterate on prompts for various LLM applications (conversational AI, content generation, summarization, etc.).
• Experiment with prompt formats, styles, and techniques to optimize LLM performance and output quality.
• Analyze LLM-generated responses, identify biases or limitations, and implement mitigation strategies.
• Identify and propose innovative IRAD projects that leverage LLMs to solve complex problems or explore new capabilities.
• Collaborate with researchers, engineers, and other stakeholders to advance the state-of-the-art in LLM applications.
• Work closely with data scientists, machine learning engineers, and other prompt engineers to integrate prompts and research findings into the broader AI/ML pipeline.

Requirements & Skills:

• BA/BS degree in Computer Science, Linguistics, or a related field.
• Strong understanding of NLP fundamentals (language models, text processing, tokenization).
• Proven track record of crafting clear, concise, and effective prompts for LLMs.
• Demonstrated ability to identify and solve complex problems through innovative solutions.
• Excellent communication and collaboration skills to work effectively with cross-functional teams.
• A passion for AI research and a desire to push the boundaries of LLM capabilities.
• Experience with reinforcement learning from human feedback (RLHF) techniques.
• Familiarity with prompt engineering tools and frameworks.
• Contributions to open-source NLP projects.
• Strong understanding of research methodologies and experimental design.

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Responsibilities:

• Architect and design scalable AI solutions using Microsoft Azure Cognitive Services, Azure Open-AI, Databricks, and related AI tools.
• Lead the end-to-end development of AI/ML models, focusing on Natural Language Processing (NLP) and other generative AI use cases.
• Collaborate with cross-functional teams, including Data Science, Engineering, and DevOps, to deploy AI models into production environments using Azure Cloud and DevOps best practices.
• Develop and integrate advanced analytics solutions, leveraging Python (Anaconda) and various AI/ML frameworks.
• Oversee the implementation of cloud architectures, ensuring adherence to security, scalability, and reliability standards.
• Mentor and provide technical leadership to junior AI engineers and data scientists, fostering growth and development within the team.
• Engage with stakeholders to understand business challenges and identify opportunities for AI-driven improvements.
• Act as a subject matter expert (SME) for all AI-related topics, providing insights and guidance on cutting-edge AI technologies and industry trends.
• Deliver presentations and communicate complex technical solutions effectively to both technical and nontechnical audiences.
• Drive the implementation of DevOps practices for continuous integration and deployment (CI/CD) in AI model development.

Requirements & Skills:

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Responsibilities:

• Manage utilization of LLMs for content creation for a list of clients
• Demonstrate a strong knowledge of writing and editing best practices to resolve any QC issues related to AI-generated content.
• Evaluate the accuracy, efficiency, and scalability of various LLM providers
• Collaborate with SEO, Content, Customer Success, and Sales teams to ensure client satisfaction
• Provide insight into changes in the industry and news or new tools relevant to L2T’s SEO and content offerings
• Ability to transfer technical aspects to customer-facing business language and anticipate nuances that may require workarounds or heightened training and quality oversight
• Create, update, or validate SOPs to ensure Content delivery adheres to L2T and industry best practices

Requirements & Skills:

• Bachelor’s degree in English, communications, marketing, or journalism preferred
• 1+ years’ LLM experience with prompt engineering, including ChatGPT4 and Google Gemini, at minimum
• 1+ years of editing and online publishing experience
• Excellent written and verbal communication skills. This person should excel at translating technical or complex subjects for a variety of audiences, and be capable of writing clean, clear, and accurate copy
• Efficient, precise editing skills and comfortable delivering constructive criticism
• Collaborate and creatively problem-solve across departments
• Experience managing large editorial calendars
• SEO and/or copywriting experience

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Responsibilities:

• Design, develop, and maintain applications and systems, ensuring optimal performance and reliability of the bank’s technical infrastructure
• Develop and implement advanced machine learning and deep learning models to automate and optimize business processes within the capital markets value chain
• Utilize data science to generate actionable insights, build predictive models, and deploy robust solutions. Explore generative AI to enhance business operations, from data synthesis to process automation
• Partner with quantitative analysts, traders, and business teams to develop and implement AI-driven solutions that address complex challenges
• Drive the development of AI-powered products and features to improve the overall IS ecosystem

Requirements & Skills:

• Bachelor’s degree in Computer Science or a related field
• Minimum 10 years in IT functional architecture
• Mastery of machine learning, deep learning, generative AI, and MLOps
• Strong knowledge of data management practices, including data cleaning, preprocessing, and transformation
• Expertise in AI algorithms, frameworks (TensorFlow, PyTorch, Scikit-learn), and cloud-based AI/LLM technologies (RAG patterns)
• Proficiency in Python, .NET, or Java, as well as DevOps/MLOps/LLMOps tools (GitLab CI/CD, Kubernetes, AWS Cloud)
• Knowledge of ethical principles for developing AI models
• Ability to analyze complex problems and develop effective solutions
• Strong interpersonal and communication skills to work effectively in teams
• A curious mindset with a passion for learning and exploring new technologies
• Ability to work independently and take ownership of projects

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Responsibilities:

• Define the operating structure and processes to implement in product strategy
• Understand the pros, cons, and costs of emerging technologies (primarily focused on generative AI)
• Partner with Product and Engineering teams to identify the tech/ tooling strategy which includes choice of internal development vs. external vendors and which (if any)
• Ensure functional partners are aligned on key objectives for the program/product
• Advise product teams on the global feasibility and user experience of generative AI products and tools throughout the product lifecycle
• Develop, own, and plan for the long-term generative/ conversational AI strategy while executing a short-term implementation plan for the Uber CommOps team
• Collaborate with key team members (legal, tax, policy, support, etc) to prepare products for launch
• Track core business metrics related to the product
• Identify key problem areas and/or geographies impacted by product post-launch
• Surface and advocate for key insights from the business to advise product improvement
• Evaluate possible use cases where generative/ conversational AI can be deployed, run cost-benefit analyses, and provide recommendations to leadership
• Conduct ongoing analysis/ evaluation of tech performance to provide recommendations for optimization that will ultimately drive customer and customer support representative (CSR) satisfaction
• Ensure that quality generative/ conversational AI products are launched on time and with features that deliver the business objectives while managing communication and alignment to drive product adoption
• Communicate status, progress to facilitate leadership inputs and decisions

Requirements & Skills:

• Bachelor’s degree
• 5+ years of experience in technology, consulting, operations, or other highly agile, project-based environments
• Previous experience developing and deploying new technology products
• Excellent communication, the ability to engage internal stakeholders and external customers
• Deep understanding of the user experience
• Ability to leverage data to inform and support critical decisions
• 7+ years of experience in technology, consulting, operations, or other highly agile, project-based environments
• Prior experience with conversational AI product optimization and/ or generative AI product development
• SQL/ Python/ prompt engineering skills strongly preferred
• MBA or equivalent training/ experience
• Strategic alignment, able to bring key stakeholders across functions together
• Entrepreneurial spirit – the drive to continue building and improving all processes
• A desire to learn, highly motivated self-starter, with an eagerness to learn and grow
• Experience developing and delivering executive communications
• Visionary and forward-thinking
• Resilience and the ability to ‘fail fast’
• Obsession for delivering great customer experience

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