AI Engineer Sr
Tasks
- Apply AI security privacy and governance
- Build intelligent agents and agentic workflows
- Contribute to architecture decisions and engineering standards
- Create evaluation harnesses
- Design production grade AI applications
- Develop monitoring and diagnostics for AI systems
- Develop reusable AI platform components
- Implement AI orchestration frameworks
- Implement prompt safety and guardrails
- Integrate tools and retrieval pipelines
- Mentor team members and promote AI best practices
- Optimize LLM inference for low latency
Perks/Benefits
Skills/Tech-stack
AI Observability | API | AWS | Agent systems | Amazon Web Services | Anthropic SDK | Azure | CI/CD | Docker | Google Cloud | Guardrails | Kubernetes | LLM | Langchain | Langgraph | Language Models | Large Language Models | Microservices | Model Context Protocol | Model Evaluation | Monitoring | Multi-Agent | Multi-Agent Systems | OpenAI SDK | OpenTelemetry | Prompt injection | Prompt injection mitigation | Python | RAG | Responsible AI | Retrieval-Augmented Generation | Semantic Kernel | Web Services
Education
Roles
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