AI Engineer
Tasks
- Architect AI system architecture
- Build production AI products and services
- Collaborate to translate business requirements into technical specifications
- Define AI engineering best practices
- Deploy and operate AI services with monitoring
- Design evaluation and reliability pipelines
- Implement agentic workflows and multi agent systems
- Implement responsible AI privacy security and access control
- Integrate retrieval and grounding
- Orchestrate agent planning routing tool calling and state memory
- Refine proof of concept solutions
Perks/Benefits
- N/A
Skills/Tech-stack
Agent Orchestration | Agent systems | AgentOps | Amazon Bedrock | Azure OpenAI | CI/CD | CrewAI | Databricks | Datadog | Delta Lake | Evaluation Pipelines | Generative AI | Google Vertex | Google Vertex AI | Grafana | GraphQL | Hybrid retrieval | LLMOps | Langchain | Langgraph | Llamaindex | Logging | MCP Endpoints | MLflow | Machine Learning | Metrics | Model Serving | Multi-Agent | Multi-Agent Systems | Observability | Prompt injection | Prompt injection mitigation | Python | REST APIs | Regression testing | Reranking | Retrieval-Augmented Generation | State Memory | Tool-Calling | Tracing | Unity Catalog | Vector Databases | Vertex AI
Education
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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