GenAI Developer – Reliability Engineering

About the Opportunity

We’re seeking a GenAI Developer to join a team focused on improving the reliability and efficiency of large-scale direct-to-consumer platforms. This role involves building and applying AI-driven solutions to reduce operational friction, predict and prevent issues, and enhance engineering workflows, specifically within the OTT/streaming domain.

The Role

As a GenAI Developer, you’ll design and implement AI-powered tools and models tailored to the challenges of high-scale streaming services. This includes leveraging machine learning, natural language processing, and automation to improve observability, detect anomalies, streamline operations, and ensure seamless video delivery.

Key Responsibilities

• Develop and deploy GenAI solutions to improve reliability, performance, and user experience in OTT environments.
• Apply ML/NLP models for anomaly detection, root-cause analysis, and predictive issue resolution.
• Build tools that integrate with streaming observability, incident management, and performance monitoring systems.
• Partner with reliability engineers, SREs, and product teams to identify high-impact OTT use cases for AI.
• Continuously refine AI models to adapt to evolving streaming workflows and scale requirements.
• Contribute to building a long-term AI/automation strategy for reliability in video delivery.

What You’ll Need

• Proven experience in the OTT/streaming video industry (DTC, broadcast, or content delivery).
• Strong programming skills (Python preferred) with hands-on experience in ML/AI frameworks.
• Demonstrated ability to build and deploy GenAI or ML models in production.
• Knowledge of streaming reliability challenges (QoE, buffering, latency, error recovery).
• Understanding of observability and reliability practices: monitoring, alerting, incident response, and automation.
• Excellent collaboration and communication skills, with experience working in distributed teams.

Nice to Have

• Experience applying AI/ML to large-scale video platforms or distributed systems.
• Familiarity with streaming observability tooling (e.g., Conviva, Datadog, Grafana, Prometheus).
• Background in DevOps, SRE, or performance/reliability engineering for OTT.
• Experience fine-tuning LLMs or applying prompt engineering for operational automation.