AI Engineer
Richmond, VA, USA - 9954 Mayland Drive (G100), United States
USD 104K-174K Senior-level Full Time
Tasks
- Architect AI solutions on Azure
- Architect AI solutions on GCP
- Build embedding pipelines
- Build vector retrieval systems
- Collaborate with data engineering teams
- Define AI KPIs
- Deploy enterprise generative AI solutions
- Design Generative AI applications
- Develop generative AI solutions
- Ensure AI security and compliance
- Establish monitoring dashboards
- Evaluate emerging AI technologies
- Implement AI observability
- Implement LLM evaluation frameworks
- Implement RAG architectures
- Implement agentic workflows
- Implement prompt versioning
- Integrate with orchestration platforms
- Lead AI projects through SDLC
- Mentor junior engineers
- Monitor application health
- Monitor model performance
- Optimize LLM API costs
- Perform prompt engineering
Perks/Benefits
- N/A
Skills/Tech-stack
ADK | AI Observability | Agent Builder | Agentic Workflows | Azure | Cortex AI | Embeddings | Gemini | Generative AI | Google Cloud | Google Generative AI | LLM Evaluation | Microsoft Copilot | Model Monitoring | Performance KPIs | Prompt engineering | Prompt versioning | RAG | SDLC | Salesforce Agentforce | Semantic Search | Snowflake Cortex | Snowflake Cortex AI | Token optimization | Vector Databases | Vertex AI
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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