Senior Engineer, Applied AI & Engineering Platforms
USD 130K-212K (estimate) Senior-level Full Time
Tasks
- Architect multi-agent systems
- Build agent evaluation frameworks
- Design AI foundations layer
- Establish traceability audit logging
- Implement CI CD evaluation gates
- Implement governance compliance controls
- Implement observability and AIOps
- Integrate agents with enterprise platforms
- Mentor engineers and lead architecture reviews
Perks/Benefits
- N/A
Skills/Tech-stack
A2A | AI Foundry | AI Search | AIOps | API Integration | AWS Bedrock | Agent systems | Agent to Agent | Agents SDK | Asyncio | Audit Logging | Autogen | Azure AI | Azure AI Foundry | Azure AI Search | CI/CD | Chunking | Circuit Breakers | CrewAI | Docker | Embedding Models | Embeddings | Failure handling | FastAPI | GDPR | Git | Google Vertex | Google Vertex AI | Graceful Degradation | HIPAA | Human-in-the-loop | Hybrid search | Kubernetes | LLMOps | Langchain | Langfuse | Langgraph | Langsmith | Language Models | Large Language Models | Least Privilege | Llamaindex | LoRA | MCP | MLflow | Memory Architecture | Model Context Protocol | Model Evaluation | Multi-Agent | Multi-Agent Systems | OAuth | OpenAI Agents | OpenAI Agents SDK | OpenTelemetry | PGVector | Pinecone | Prompt engineering | Python | QLoRA | RAG Pipelines | REST API | Re-ranking | Retrieval-Augmented Generation | Retry logic | Routing | Secure API | Secure API integration | Semantic Kernel | Serverless | State management | The Loop | Traceability | Vector Databases | Version control | Vertex AI
Education
Regions
Countries
States
Cities
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