Senior AI Engineer
Posted Updated 15
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Summary
The Senior AI Engineer will build and deploy AI-enabled applications and agentic systems using Kotlin, Java, Spring Boot, React, and TypeScript. The role involves integrating LLMs with enterprise systems, implementing RAG, and managing AI performance and security on Azure.
- 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