
Staff Software Engineer – GenAI Innovation, Forward Deployed
Posted Aug 31

Posted Aug 31
This is a fully remote position, open to applicants in Canada.
• Spearhead the creation of cutting-edge systems and solutions utilizing advanced AI capabilities.
• Swiftly investigate and assess new AI technologies, converting their potential into quantifiable business returns.
• Thoroughly analyze proposed AI solutions to ascertain their suitability for addressing specific problems.
• Construct backends and data layers incorporating business logic, API standards, NBCUniversal gateways, and recognized best practices.
• Implement and oversee SQL and NoSQL databases as well as application storage solutions.
• Design features that connect the application user interface with the underlying APIs.
• Uphold code quality through stringent testing and adherence to coding standards, including the code written by agents.
• Create automated tests for functions, services, and objects, ensuring compatibility across various devices and browsers.
• Collaborate within a multidisciplinary, matrixed environment to effectively manage system complexities and deploy solutions.
• Deploy applications to cloud platforms while troubleshooting issues related to applications, cloud, and configuration.
• Utilize code and test generation tools to expedite the delivery process.
• Demonstrate the business value of AI foundation models across various sectors including TV, film, theme parks, and other business units, while efficiently bringing solutions into production.
• Over 6 years of experience in backend or full-stack development.
• A comprehensive portfolio showcasing relevant experience.
• Strong systems-thinking skills with the ability to design solutions for systemic challenges.
• Capability to independently take a basic application from concept to completion.
• Proficiency in Python for application development, along with experience in AWS, database systems, and SQL.
• Familiarity with the Python ecosystem, including tools for building, testing, and deploying applications.
• In-depth knowledge of ML practices for the integration of foundation models, including tooling, instrumentation, feature/model selection, and RAG patterns.
• Experience in fine-tuning, deep learning, and insights into training/algorithms.
• Ability to critically assess ambiguously defined problems and differentiate user preferences from essential requirements.
• Knowledge of API backends with practical experience in integrating and consuming APIs within front-end projects.
• Capacity to quickly adapt to feedback and changing priorities.
• Competence in designing, articulating, and implementing technical architectures and concepts into scalable solutions.
• Experience working within secure internal network environments and navigating complex cloud network setups.
• Familiarity with integrating large language models and AI-generated content technologies into applications.
• Knowledge of LLM integration tools such as LangChain.
• Strong problem-solving skills and adaptability in a rapidly evolving technological landscape.
• Effective communication and collaboration abilities across diverse teams in a large, matrixed organization.
• Skill in translating business requirements into clear technical specifications.
• Medical, dental, and vision insurance.
• 401(k) plan.
• Paid time off.
• Tuition reimbursement program.
• Discounts and various perks.
• Eligibility for bonuses.
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