Generative AI Engineer (Clearance Required)
Arlington, Virginia, United States
USD 100K-215K (estimate) Mid-level Full Time
Tasks
- Architect retrieval augmented generation solutions
- Build CI CD pipelines for AI deployment
- Build intelligent agents and AI workflows
- Deploy scalable AI solutions in Microsoft Azure
- Design and build generative AI applications
- Design cloud native architectures with Azure services
- Develop REST APIs and backend services
- Develop proof-of-concept solutions
- Evaluate emerging AI technologies
- Implement responsible AI practices and guardrails
- Integrate AI capabilities into enterprise applications
- Optimize model performance latency scalability security cost
Perks/Benefits
Skills/Tech-stack
AI Search | AI Services | Azure AI | Azure AI Search | Azure AI Services | Azure Functions | Azure Kubernetes | Azure Kubernetes Service | Azure Machine Learning | Azure OpenAI | Azure Storage | Bicep | CI/CD | Chroma | Claude | Data Pipelines | DevSecOps | Distributed Systems | Docker | FastAPI | Flask | GPT | Git | Infrastructure as Code | Kubernetes | Kubernetes Service | Langchain | Langgraph | Language Models | Large Language Models | Llama | Llamaindex | Machine Learning | Microsoft Azure | Milvus | Mistral | Model Evaluation | Observability | PGVector | Pinecone | Prompt engineering | Python | RAG | REST APIs | Retrieval-Augmented Generation | Semantic Kernel | Terraform | Vector Databases | “as-code”
Education
N/A
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