AI Applications Developer
Tasks
- Add tracing and logging
- Build agentic and generative AI applications
- Build user interfaces and chat workflows
- Collaborate through code reviews and shared standards
- Create AI agent tools and connectors
- Deploy and operate applications on Azure
- Develop RAG pipelines
- Develop prompt engineering and evaluation tests
- Document use cases and playbooks
- Implement data validation and guardrails
- Integrate enterprise systems with APIs
- Monitor usage and quality
- Prototype requirements and iterate with feedback
- Tune retrieval and reranking
Perks/Benefits
- N/A
Skills/Tech-stack
AI Foundry | Anthropic | Autogen | Azure AI | Azure AI Foundry | Azure Document Intelligence | Azure OpenAI | Bicep | CI/CD | Container Apps | Copilot Studio | CrewAI | Databricks | Docker | Document Intelligence | Embeddings | Git | GraphQL | Hugging Face | Hybrid search | Infrastructure as Code | JavaScript | LLM Evaluation | Langchain | Langgraph | Llamaindex | Microsoft Copilot | Microsoft Copilot Studio | Microsoft Graph | Microsoft Teams | Model Context Protocol | OpenAI | PII | Power Apps | Prompt engineering | Python | REST | React | Reranking | Retrieval-Augmented Generation | SQL | Semantic Kernel | SharePoint | Snowflake | Streamlit | Structured outputs | Terraform | Tracing | TypeScript | Unstructured | Vector Database | “as-code”
Education
Bachelor of Arts | Bachelor of Engineering | Bachelor of Science | Bachelor of Science in Computer Science
Roles
AI | AI Applications Developer | Applications Developer | Developer | Engineer | Software Engineer
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