AI Engineer
Raleigh, North Carolina, United States
USD 120K-209K (estimate) Mid-level Full Time
Tasks
- Apply ethical AI foundations
- Build Retrieval Augmented Generation systems
- Build autonomous and semi autonomous agents
- Build tool use chains
- Collaborate with business teams to identify AI opportunities
- Create evaluation frameworks
- Deploy AI agents in production
- Design AI agents
- Develop human-in-the-loop systems
- Develop vector store and embedding pipelines
- Ensure transparency and explainability
- Implement prompt engineering pipelines
- Implement tracing and observability
- Integrate agents with APIs
- Integrate agents with core business systems
- Integrate agents with data platforms
- Manage LLM context
- Monitor Agent performance in production
- Optimize prompts
- Orchestrate LLM calls
- Orchestrate multi-agent workflows
- Test and iterate foundation model workflows
- Wire agents into event buses
Perks/Benefits
- 401k matching
- Charitable Gift Matching
- Collaborative culture
- Paid time off
- Paid volunteer time
- Retirement program
Skills/Tech-stack
API Design | AWS | Agent evaluation | Agent systems | Asynchronous programming | Autogen | CrewAI | Embeddings | Event Driven | Event-driven architecture | JavaScript | LLM orchestration | Langfuse | Langgraph | Langsmith | MCP | Model Tracing | Multi-Agent | Multi-Agent Systems | Observability | Prompt engineering | Python | RAG | Serverless | Vector Databases
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
Regions
Countries
States
Cities
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