Note: The job is a remote job and is open to candidates in USA. OperAxis is hiring a Staff AI Engineer to design, build, and operate production AI systems supporting NBCUniversal broadcast, streaming, and content workflows. The role focuses on scalable event-driven backend systems, AI agent tools for visual asset editing, model integration, cloud infrastructure, testing, and production issue resolution across the Content Velocity and Mural tracks.
Responsibilities
- Build and maintain scalable backend microservices in Python and FastAPI, deployed as serverless infrastructure
- Design event-driven, distributed workflows for high-volume job orchestration using queues, streams, and cloud-native services (for example EventBridge, queues, DynamoDB streams)
- Develop tools, constraints, and deterministic functions that AI agents use to edit visual assets
- Integrate models on owned infrastructure for inference and integrate third-party AI endpoints
- Contribute Terraform to provision and manage cloud resources across environments
- Write robust unit and end-to-end tests for standard APIs and AI agent outputs
- Work with Engineering and QA to diagnose and fix production issues quickly
- Participate in daily standups, Scrum ceremonies, and standard engineering workflows
Skills
- • 7+ years of professional software engineering
- • Strong modern Python
- • Hands-on production experience in at least one major cloud: AWS preferred, then Azure or GCP
- • Practical experience integrating LLMs into software applications, including inference endpoints, context windows, and parsing model output
- • Experience with Terraform or similar IaC
- • Experience building production AI applications, not only prototypes
- • Strong communication skills and comfort explaining technical tradeoffs to product and business stakeholders
- • Python
- • FastAPI
- • Amazon Web Services (AWS)
- • Terraform
- • Large Language Models (LLM)
- • AI Agents
- • Event-Driven Architecture
- • Serverless Computing
- • Distributed Systems
- • Computer Vision
- • AI agents, orchestration, and distributed systems
- • Event-driven / serverless architecture in production
- • Generative image, diffusion, computer vision, or vision-language work
- • Search, embeddings, and ranking over large content or media libraries
- • Broadcast, media, or video content-management workflows
- • FastAPI, AWS event-driven services, and modern backend orchestration
- • Agile delivery and rigorous code review
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