AI Architect – Agentic Systems
Tasks
- Build domain specific AI workflows
- Build full stack AI applications with Python APIs
- Build multi agent systems for enterprise domains
- Collaborate with stakeholders to translate workflows into agent logic
- Create tool calling agents and orchestration frameworks
- Deploy monitor and optimize AI solutions on Microsoft Azure
- Design and deploy retrieval-augmented generation systems
- Design and implement Agentic AI architectures
- Develop LLM powered solutions with RAG pipelines
- Develop classical machine learning models
- Integrate AI systems with enterprise platforms
Perks/Benefits
- Continuous learning
- Disability insurance
- Fully remote work
- Life insurance
- Medical/Dental/Vision insurance
- Paid time off
- Retirement savings programs
Skills/Tech-stack
AKS | API Design | Agent systems | Azure Cloud | Azure Cloud Infrastructure | Azure Functions | Azure Machine Learning | Azure OpenAI | Backend Development | Classification | Cloud infrastructure | Dashboard Development | Data Lakes | Embeddings | Explainability | FHIR | HIPAA | HL7 | Language Models | Language Processing | Large Language Models | Machine Learning | Microsoft Azure | Model Governance | Multi-Agent | Multi-Agent Systems | Natural Language | Natural Language Processing | Prompt engineering | Python | RAG | Regression | Retrieval-Augmented Generation | Series modeling | Time Series | Time Series Modeling | Tool-Calling
Education
N/A
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