AI Engineer
Richmond, VA, USA - 9954 Mayland Drive (G100), United States
USD 108K-181K Senior-level Full Time
Tasks
- Build embedding pipelines
- Collaborate with data engineering teams
- Create vector retrieval systems
- Define KPIs for model performance
- Deploy AI solutions to production
- Design Generative AI applications
- Develop agentic workflows
- Develop prompt engineering strategies
- Ensure AI security and compliance
- Evaluate emerging AI technologies
- Implement LLM evaluation frameworks
- Implement RAG architectures
- Implement enterprise AI orchestration integrations
- Integrate AI with enterprise platforms
- Mentor junior team members
- Monitor and optimize token usage costs
- Set up AI observability and monitoring
Perks/Benefits
- N/A
Skills/Tech-stack
AI Observability | AI orchestration | Agentic Workflows | Azure | Azure AI | Cloud AI | Cloud AI Orchestration | Cloud platform | Cortex AI | Embeddings | Gemini | Generative AI | Google Cloud | Google Cloud Platform | Java | LLM Evaluation | Language Models | Large Language Models | Machine Learning | Microsoft Azure | Microsoft Azure AI | Microsoft Copilot | Model Monitoring | Prompt engineering | Python | RAG | Salesforce | Salesforce Agentforce | Semantic Search | Snowflake Cortex | Snowflake Cortex AI | 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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