AI Engineer II ( AI Platform)
Tasks
- Build observability and monitoring for AI services
- Build output evaluation pipelines
- Collaborate on architecture and technical design reviews
- Consolidate shared patterns across product teams
- Create documentation reference implementations and runbooks
- Define integration standards and API contracts
- Design and develop AI platform components
- Develop and maintain integration APIs
- Handle PII with audit trails and data residency controls
- Implement content safety standards and compliance guardrails
- Implement evaluation and monitoring for AI output quality
- Implement model serving layers
- Implement prompt management systems
- Implement retrieval augmented generation infrastructure
- Integrate large language models into production applications
- Participate in code reviews and mentor junior engineers
Perks/Benefits
Skills/Tech-stack
.NET | AWS Bedrock | Asynchronous processing | Audit trails | Azure OpenAI | C# | CI/CD | Data Residency | Docker | Embedding pipelines | Embeddings | Evaluation Pipelines | Event Driven | Event-driven architecture | Git | Java | Kubernetes | Langchain | Language Models | Large Language Models | Llamaindex | Machine Learning | Milvus | Monitoring | Node.js | Observability | PII | Pinecone | Prompt engineering | Python | REST API | Retrieval-Augmented Generation | SQL | Vector Databases | Weaviate
Education
Bachelor of Arts | Bachelor of Engineering | Bachelor of Science
Roles
AI | AI Engineer | AI Platform Engineer | Engineer | Platform Engineer
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