Note: The job is a remote job and is open to candidates in USA. TheCorporate is seeking a Staff AI Engineer to join its Operations & Technology Solutions Architecture team supporting broadcast and streaming workflows. The role focuses on building scalable Python backend services, AI agent tools, distributed workflows, cloud infrastructure, and reliable APIs for content production and visual asset editing.
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
- •Staff AI Engineer For the engineering profiles, client wants candidates who are very strong in at least one cloud environment
- • The specific cloud is less important than having strong depth, although his preference is: + AWS + Azure + GCP
- • Beyond cloud experience, the focus is increasingly on engineers who have experience building event-driven applications
- • 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
- • BS in CS, EE or equivalent experience required
- • Practical AI engineering experience required
- • Strong communication skills required
- • 5+ years working with the AWS cloud
- • 1+ years working with the Azure cloud
- • Experience with AI agents, orchestration, and distributed systems preferred
Company Overview