AI Engineer
Twine · United States · 2 wk ago
RemoteRemoteEngineeringContract
About the role
Join a leading broadcast TV software company to establish robust AI development infrastructure. This role focuses on building the foundational systems required for advanced AI initiatives, including observability, large language model (LLM) integrations, managed cloud platforms (MCP), API development, and development harnesses. The ideal candidate will play a pivotal role in enabling scalable, reliable, and efficient AI solutions for broadcast technology, working remotely from within the United States.
Responsibilities
- Design and implement observability frameworks to monitor AI systems and ensure operational reliability
- Integrate large language models (LLMs) into existing broadcast software platforms
- Develop and maintain managed cloud platform (MCP) solutions for scalable AI deployment
- Build and document robust APIs to support AI-driven features and integrations
- Create development harnesses and testing environments for rapid prototyping and validation
- Collaborate with cross-functional engineering teams to align AI infrastructure with product goals
- Ensure security, compliance, and best practices in all infrastructure components
Skills and Requirements
- Proven expertise in AI infrastructure setup, including observability, LLM integration, and cloud platforms
- Strong experience with API development and management
- Proficiency in Python, Java, or similar programming languages relevant to AI and backend systems
- Deep understanding of cloud services (AWS, GCP, or Azure) and managed cloud platforms
- Experience with monitoring tools, logging frameworks, and CI/CD pipelines
- Familiarity with broadcast technology or media software environments is a plus
- Excellent problem-solving skills and ability to work independently
- Strong communication and documentation abilities
- Must be based in the United States and able to work remotely