AI Engineer
Core
Design, train, and deploy LLM-powered recommendation models and data pipelines for a Smart TV platform to decide content for millions of viewers.
Role type
AI & Content-Recommendation Developer
Builds
Recommendation models, ranking systems, and data pipelines for a Smart TV platform
Domain
Media & Entertainment / Machine Learning
Deliverable
production ML models
Required skills
Python, LLM-powered agents, RAG pipelines, tool/function calling, multi-step planning, orchestration, PyTorch/TensorFlow/JAX, SQL (BigQuery/PostgreSQL), pandas/Spark, REST APIs, unit/integration testing
Preferred skills
Real-time stream processing (Kafka/Flink), AWS/GCP AI services, LLM-based recommendation/embeddings, observability stacks (Prometheus/Grafana), Go/Node.js/Ruby
Technologies
Python, PyTorch, TensorFlow, JAX, BigQuery, PostgreSQL, pandas, Spark, GitHub Actions, Docker, Kafka, Flink, Prometheus, Grafana
Responsibilities
Design and deploy LLM-powered agents for recommendation and information retrieval; prototype and train ranking models from interaction logs; design offline metrics and analyze A/B test results; expose recommendation APIs and integrate with Go/Ruby services; contribute to CI/CD pipelines for data and model versioning; participate in code reviews and collaborate with product owners; monitor service performance and establish SLAs/KPIs
Seniority
Mid-level, hands-on IC