AI Engineer (hybrid)
Tasks
- Build autonomous workflows and RAG systems
- Design AI agentic solutions
- Develop AI guardrails and safety controls
- Enforce data privacy for PII and PHI
- Implement and extend Model Context Protocol integrations
- Integrate LLMs with vector databases and external systems
- Iterate on AI programs
- Monitor production AI behavior
- Optimize prompt and context engineering
- Test and evaluate AI agents
- Tune LLM usage for cost and performance
Perks/Benefits
Skills/Tech-stack
AI Governance | AI guardrails | Artificial Intelligence | AutoGPT | Azure AI | Content Filtering | CrewAI | Data Privacy | Hugging Face | LLM APIs | Langchain | Langgraph | Language Models | Large Language Models | Lifecycle Management | Machine Learning | Model Context Protocol | Model Evaluation | Model Lifecycle | Model Lifecycle Management | OpenAI | PII | Phi | Python | RAG | Retrieval-Augmented Generation | Safety controls | Vector Databases
Education
N/A
Roles
AI | AI Engineer | Engineer
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