Intelligent Systems Developer
1 week ago
This is a high-level overview of the AI Engineer position.
Key Responsibilities- Develop and maintain AI-powered features that drive business value.
- Enhance our internal tech stack by identifying new technologies and incorporating them into production environments.
- Conduct exploratory work, create minimum viable products (MVPs) and proof-of-concepts (POCs), engage in discussions with fellow engineers and stakeholders, and plan execution strategies.
- Expertise in building scalable Python applications.
- Proficiency in designing, implementing, and maintaining machine learning systems and solutions within production environments.
- Practical experience with message queue systems and understanding of event-driven architecture.
- Python as our primary language for development.
- Celery and Kubernetes for efficient scheduling and deployment of ML pipelines.
- AWS and Kubernetes for real-time services and scalability.
- Datadog and Sentry for monitoring performance and uptime.
- Looker for data-driven business insights.
- GraphQL and Postgres for efficient data retrieval and storage.
- LangGraph and LangSmith for agent orchestration and workflow management.
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