AI Developer
Tasks
- Build tool integration layer
- Build user interface and backend services
- Connect document repositories and operational systems
- Create tool contracts and schemas
- Deploy solutions to Azure and on premises environments
- Design and build tool using agents
- Evaluate production readiness of AI tooling
- Handle confidential customer data
- Handle task decomposition state and memory
- Implement authentication and deployment pipelines
- Implement permissions policy checks and audit logs
- Integrate customer APIs and databases
- Map customer processes into agentic workflows
- Monitor and maintain production AI solutions
- Plan and execute multi step tasks
- Run local models on premises
- Validate inputs and outputs with retries
Perks/Benefits
Skills/Tech-stack
APIs | AWS | Agent Frameworks | Agent SDK | Agents SDK | Authentication | Azure | CI/CD | Claude Agent SDK | Cloud Platforms | Containers | Copilot Studio | Data Validation | Databases | Docker | Document Repositories | Evaluation | Function Calling | Google Cloud | Hosted Inference | LLM APIs | Langchain | Langgraph | Language Models | Large Language Models | MCP | Model Context Protocol | Monitoring | On-Premises | OpenAI Agents | OpenAI Agents SDK | Self Hosted | Self Hosted Inference | Semantic Kernel | Structured Output | Structured data | Structured data validation | Tool-Calling
Education
N/A
Roles
AI | AI Developer | Developer | Engineer | Learning Engineer | Machine Learning Engineer
Regions
Countries
States
Cities
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