GEN AI Developer
Tasks
- Build microservices based AI platforms
- Build reusable GenAI assets and accelerators
- Define scalable GenAI architectures
- Design GenAI platform architectures
- Design RAG architectures
- Develop secure modular GenAI solutions
- Establish AI security and compliance frameworks
- Evaluate foundation models and emerging LLMs
- Implement agentic AI workflows
- Implement observability monitoring and governance
- Industrialize AI solutions across domains
- Integrate AI services into enterprise and embedded products
- Integrate LLMs with vector databases
- Orchestrate LLM workflows
Perks/Benefits
- N/A
Skills/Tech-stack
.NET | AI compliance | API Management | AWS | Agent systems | Agentic AI | Azure | CI/CD | Data Flows | Distributed Systems | Docker | Enterprise Integration | Enterprise Integration Patterns | Fine Tuning | Generative AI | Governance | Integration Patterns | Kubernetes | LLMOps | Langchain | Language Models | Large Language Models | Llamaindex | MLOps | Microservices | Model Evaluation | Model Fine-tuning | Monitoring | Multi-Agent | Multi-Agent Systems | NLP | Observability | Prompt engineering | Python | RAG | Retrieval-Augmented Generation | Rust | Semantic Kernel | Vector Databases
Education
N/A
Roles
AI | AI Solutions | AI Solutions Architect | Architect | GenAI Architect | Solutions Architect
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