AI Engineer
Tasks
- Build LLM enabled applications with agentic frameworks
- Build reusable AI components and evaluation scripts
- Collaborate with architects on governed explainable data
- Create technical documentation and provide knowledge transfer
- Design build test and deploy Python based AI agents
- Develop integrate MCP servers
- Develop retrieval-augmented generation pipelines
- Implement secure tool calling patterns and access controls
- Integrate AI services with enterprise applications
- Support deployment monitoring troubleshooting and performance tuning
Perks/Benefits
- N/A
Skills/Tech-stack
.NET | AI Agents | AWS Bedrock | Anthropic Claude | Authentication | Authorization | Autogen | Azure OpenAI | C# | CI/CD | CrewAI | Embeddings | FastAPI | Flask | Google Gemini | GraphQL | Langchain | Llamaindex | Logging | MCP server | Observability | OpenAI | Prompt engineering | Python | RAG | REST APIs | Retrieval-Augmented Generation | SQL | Secrets management | Semantic Kernel | Semantic Search | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineer | Engineer
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