AI Engineer
Richmond, VA, USA - 9954 Mayland Drive (G100), United States
USD 108K-181K Senior-level Full Time
Tasks
- Build Retrieval Augmented Generation systems
- Collaborate with data engineering teams
- Deploy generative AI models
- Design Generative AI applications
- Develop embedding pipelines
- Develop generative AI solutions
- Ensure AI security compliance
- Evaluate emerging AI technologies
- Implement AI observability
- Implement LLM evaluation frameworks
- Implement agentic workflows
- Implement prompt engineering strategies
- Implement vector retrieval systems
- Integrate enterprise AI platforms
- Lead software development lifecycle
- Monitor LLM API costs
- Monitor model performance
- Orchestrate AI workflows
- Provide technical mentorship
Perks/Benefits
- N/A
Skills/Tech-stack
Agentic Workflows | Azure | Azure AI | Cortex AI | Embedding pipelines | Gemini | Generative AI | Google Cloud | LLM Evaluation | LLM Observability | Microsoft Copilot | Monitoring Dashboards | Prompt engineering | RAG | Salesforce Agentforce | Semantic Search | Snowflake Cortex | Snowflake Cortex AI | Token Management | Vector Databases | Vertex AI
Education
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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