Principal Software Engineer, Applied AI Services
Tasks
- Architect applied AI services end to end
- Build reusable AI integration building blocks
- Conduct deep design reviews
- Define evaluation methodologies and guardrails
- Design APIs and contracts for AI powered services
- Design batch and streaming data pipelines
- Implement event-driven architectures
- Integrate models and LLMs into online decision flows
- Lead microservices architecture in Kubernetes
- Mentor senior engineers
- Provide observability and operational runbooks
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Airflow | Amazon Web Services | Apache Airflow | Apache Kafka | Apache Spark | Caching | Database Design | Databricks | Event Driven | Event schemas | Event-driven architecture | Feature Store | GraphQL | Human-in-the-loop | Kubernetes | LLM Evaluation | LLM-as-a-Judge | Language Models | Large Language Models | Machine Learning | Microservices | Model Serving | Observability | Performance optimization | Prompt engineering | REST APIs | Reliability Engineering | Safety and guardrails | Schema Design | The Loop | Web Services
Education
N/A
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