Note: The job is a remote job and is open to candidates in USA. Net2Source (N2S) is looking for a Staff AI Engineer – Principal Architect to join their Operations & Technology Solutions Architecture team. The role involves architecting and maintaining systems to support on-air reliability for NBCUniversal’s broadcast and streaming channels, while leading other architects and developing standards across the architecture landscape.
Responsibilities
- Applies extensive knowledge of theories, practices and design matters
- Works on issues that impact program success or addresses future concepts and products. Implementation of solutions requires a longer-term view which impacts strategic goals and objectives spanning several functions
- Exercise a wide latitude in determining objectives and approaches to critical assignments
- Knowledge with broadcast production or video content management systems
- Knowledge of media management strategies and distribution workflows
- Lead and contributes to development of company objectives across and principles to achieve goals
- Deep understanding of AWS/Azure services and products
- Provide feasibility reviews for potential new projects, including development effort estimates
- Strong understanding of the C4 model and traditional design artifacts
- Work with Engineering and Quality Assurance to identify and address reported issues quickly and effectively
- Build and maintain scalable backend microservices using Python and FastAPI, deployed as varying serverless infrastructure
- Develop tools, constraints (guardrails), and deterministic functions that our AI agents use to edit visual assets. Integrate models on owned infrastructure for inference and integrate third-party AI endpoints
- Implement complex distributed workflows for high-volume job orchestration and dispatching (e.g. EventBridge, queues, DynamoDB streams)
- Terraform contributions to provision and mange cloud resources safely and effectively across multiple environments
- Contribute to our modern backend orchestration or modern web frontends
- Write robust unit and end-to-end tests to ensure the stability of both standard APIs and AI agent outputs, ensuring smooth deployments
Skills
- 7+ years of professional software engineering experience with a strong grasp of the Software Development Life Cycle and version control
- Strong proficiency in modern Python. Hands-on experience deploying and operating services in AWS, Azure, and/or GCP
- Practical experience integrating LLMs into software applications. You must understand how to interact with inferencing endpoints, manage context windows, and parse AI-generated content
- Applied experience with Terraform or similar IAC tools to manage cloud resources
- A strong commitment to writing clean, maintainable, and well-tested code. Experience working in an agile environment with rigorous code-review standards
- Expert experience, understanding and knowledge of digital and broadcast production operations and workflows
- Strong knowledge of AI industry trends and best practices
- Strong experience with the C4 model and other traditional design artifacts
- Experience working in an Agile environment
- 7+ years of a programming languages such as Java, Golang, Python, JavaScript
- 5+ years working with the AWS cloud
- 1+ years working with the Azure cloud
- Familiarity with continuous integration practices
- BS in CS, EE or equivalent experience required
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