Senior AI Engineer
Tasks
- Add guardrails validation logic and fallback handling
- Build AI enabled applications and agents
- Build backend services with Kotlin Java and Spring Boot
- Create frontend interfaces with React and TypeScript
- Deploy and monitor containerized or cloud native workloads
- Develop LLM workflows and agentic systems
- Enable human in the loop controls
- Evaluate AI outputs using test cases and quality metrics
- Expose AI capabilities through secure APIs
- Implement retrieval-augmented generation
- Implement secure authentication with Entra ID
- Improve solutions iteratively based on usage and feedback
- Integrate AI agents with APIs databases documents and enterprise systems
- Integrate with Azure AI services and monitoring tools
- Integrate with SharePoint and enterprise content systems
- Orchestrate prompts and agent tool use
- Set up CI CD pipelines and deployment processes
- Track performance reliability cost latency and AI output quality
Perks/Benefits
- N/A
Skills/Tech-stack
AI Foundry | Access Control | Agent Frameworks | Authentication | Azure | Azure AI | Azure AI Foundry | CI/CD | Containers | Databases | DevOps | Embeddings | Entra ID | Infrastructure as Code | Java | Kotlin | Kubernetes | Langchain | Language Models | Large Language Models | Microsoft 365 | N8n | Observability | Power Automate | Prompt orchestration) | REST APIs | React | Retrieval-Augmented Generation | SharePoint | Spring Boot | Tool use | TypeScript | “as-code”
Education
N/A
Roles
AI Engineer | Engineer | Full Stack | Full Stack Engineer | Senior AI Engineer | Stack Engineer
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