Machine Learning Engineer
Austin, TX, United States
USD 155K-175K (estimate) Senior-level Full Time
Tasks
- Apply AI governance and evaluation
- Build RAG-architectures
- Design AI agentic workflows
- Handle sensitive data with privacy controls
- Implement AI guardrails and safety controls
- Implement Model Context Protocol
- Implement and deploy autonomous agents
- Implement context engineering
- Implement retrieval with vector databases
- Integrate Large Language Models via APIs
- Optimize LLM cost and token usage
- Research machine learning solutions
- Test and evaluate AI systems
Perks/Benefits
Skills/Tech-stack
AI Governance | AI guardrails | API Integration | Agent systems | AutoGPT | Azure AI | Content Filtering | CrewAI | Data Privacy | Evaluation | Hugging Face | Langchain | Langgraph | Language Model | Large Language Model | Lifecycle Management | Model Context Protocol | Model Lifecycle | Model Lifecycle Management | Multi-Agent | Multi-Agent Systems | OpenAI | PII | Phi | Python | Retrieval-Augmented Generation | Vector Database
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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