AI Engineer Sr
Tasks
- Add guardrails permissions audit trails and approval workflows
- Build AI solution services APIs and integrations
- Deploy and operate AI solutions in cloud environments
- Design develop test and deploy AI powered applications
- Develop LLM embedding vector search and RAG solutions
- Evaluate AI models for accuracy performance scalability and cost
- Implement agentic workflows and AI orchestration patterns
- Integrate AI agents with enterprise APIs and internal systems
- Monitor AI performance reliability usage costs and quality
- Provide technical guidance and lead design discussions
- Support responsible AI privacy security auditability and data protection
- Troubleshoot production issues for AI services and integrations
Perks/Benefits
Skills/Tech-stack
AI orchestration | APIs | AWS | Access Control | Agentic Workflows | Audit Logging | Autogen | Automated testing | Azure | Bias Mitigation | C# | CI/CD | CrewAI | Data Pipelines | Embeddings | Enterprise Integration | Evaluation Frameworks | Go | Hallucination mitigation | Java | Langchain | Language Models | Large Language Models | Latency optimization | Llamaindex | Monitoring | Observability | Prompt engineering | Python | RAG | Retrieval-Augmented Generation | Secure Development | Semantic Kernel | Structured data | System design | Telemetry | TypeScript | Unstructured Data | Vector Search
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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