Software Engineer II securing Abnormal AI customer data through authentication, governance, and auditability. Building cloud - based security solutions with Golang and Python for global engineering teams.
About the role
- Staff Software Engineer building frontier-AI systems for NBCUniversal’s film, television, streaming, and theme-park businesses. Developing scalable APIs, web frontends, databases, and cloud solutions.
Responsibilities
- Lead development of innovative systems and solutions using frontier AI capabilities
- Rapidly research and test new AI technologies and translate capabilities into measurable business ROI
- Critically evaluate proposed AI solutions and determine whether problems are suitable for AI
- Build backends and data layers using business logic, API standards, NBCUniversal gateways, and established best practices
- Deploy and maintain SQL and NoSQL databases and application storage
- Design features spanning application UI through underlying APIs
- Maintain code quality through rigorous testing and code standards, including agent-written code
- Develop automated tests for functions, services, and objects, with cross-device and cross-browser compatibility
- Collaborate within a multidisciplinary, matrixed organization to navigate system complexity and deploy solutions efficiently
- Deploy to cloud platforms and troubleshoot application, cloud, and configuration issues
- Use code- and test-generation tools to accelerate delivery
- Prove the business value of AI foundation models across TV, film, theme parks, and other business groups and bring solutions to production quickly
Requirements
- 6+ years of experience in backend or full-stack development
- Comprehensive portfolio and related experience
- Systems-thinking capabilities and ability to design for systemic problems
- Ability to independently bring a basic application from idea to delivery
- Experience with Python for application development, AWS, database systems, and SQL
- Experience with the Python ecosystem, including tools for build, test and deployment
- Deep understanding of ML practices for foundation model integration, including tooling and instrumentation, feature/model selection, and RAG patterns
- Some fine-tuning, deep learning, and training/algorithm insight
- Ability to critically evaluate ambiguously stated problems and distinguish user preferences from hard requirements
- Understanding of API backends and practical experience integrating and consuming APIs in front-end projects
- Ability to quickly incorporate feedback and adjust to changing priorities
- Ability to design, communicate, and implement technical architectures and concepts into scalable solutions
- Competence working in secured internal network environments and complex cloud network setups
- Familiarity with integrating large language models and AI-generated content technologies into applications
- Familiarity with LLM integration tools such as LangChain
- Strong problem-solving ability and adaptability in an evolving technology landscape
- Effective communication and collaboration across diverse teams and a large, matrixed organization
- Ability to translate business needs into clear technical requirements
Benefits
- Medical, dental and vision insurance
- 401(k)
- Paid leave
- Tuition reimbursement
- Discounts and perks
- Bonus eligibility
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