Gen Ai
Tasks
- Architect microservices based AI platforms
- Build reusable AI assets accelerators
- Collaborate with business and delivery teams to industrialize AI solutions
- Define scalable GenAI architectures
- Design and implement Agentic AI architectures
- Develop and optimize retrieval augmented generation solutions
- Establish security compliance and regulatory frameworks for AI deployments
- Evaluate emerging LLMs foundation models and AI service offerings
- Implement observability monitoring and governance for AI applications
- Integrate LLMs with vector databases and enterprise knowledge sources
- Orchestrate prompts models and toolchains
Perks/Benefits
- N/A
Skills/Tech-stack
.NET | AI Governance | AI compliance | API Management | AWS | Agentic AI | Amazon Bedrock | Anthropic Claude | Azure | Azure OpenAI | CI/CD | Cloud Platforms | Distributed Systems | Docker | Enterprise Integration | Enterprise Integration Patterns | Fine Tuning | Integration Patterns | Intelligent Workflow | Intelligent Workflow Orchestration | Kubernetes | LLM integration | LLMOps | Langchain | Language Models | Large Language Models | Llamaindex | MLOps | Microservices | Model Evaluation | Model Fine-tuning | Monitoring | NLP | Observability | OpenAI | Prompt engineering | Python | Responsible AI | Retrieval-Augmented Generation | Rust | Security Architecture | Semantic Kernel | Vector Databases | Workflow Orchestration
Education
N/A
Roles
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