Senior AI Engineer
Tasks
- Architect implement AI platform foundations
- Build maintain ML LLM infrastructure
- Contribute to engineering best practices for AI MLOps and operational readiness
- Design & build AI services
- Design operationalize event based agent frameworks
- Develop evaluation strategies for LLM and ML systems
- Identify prototype deploy AI ML solutions for production workflows
- Implement guardrails safety mechanisms
- Own end to end delivery data access quality model deployment monitoring lifecycle
Perks/Benefits
- 401k match
- Employee stock purchase plan
- Healthcare benefits
- Life insurance
- Long-term disability
- Paid time off
- Short-term disability
Skills/Tech-stack
APIs | Agent Orchestration | Artificial Intelligence | Batch Processing | Benchmarking | CI/CD | Caching | Data Pipelines | Embeddings | Feature Engineering | Guardrails | Hugging Face | Human-in-the-loop | Incident Response | Langchain | Language Models | Large Language Models | Llamaindex | MLOps | Machine Learning | Offline evaluation | Policy Checks | Prompt engineering | PyTorch | Python | Rate Limiting | Regression testing | Retrieval-Augmented Generation | Streaming Data | The Loop | Vector Databases | Vector Search
Education
Regions
Countries
States
Cities
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