Platform AI Engineer
Tasks
- Architect and implement production grade agentic systems
- Build and operate production AI services in cloud environments
- Build internal AI platforms and shared AI services
- Collaborate with data science to scale research into production
- Define engineering standards reusable patterns and best practices
- Design and build reusable AI platform capabilities
- Design end to end AI architectures from data ingestion to deployment
- Improve reliability scalability and observability of AI systems
- Lead technical proof of concepts and drive adoption
- Mentor engineers and provide technical leadership
- Research evaluate and integrate emerging AI models and tools
Perks/Benefits
- N/A
Skills/Tech-stack
Agent workflows | Agentic Systems | Agents SDK | Autogen | CI/CD | Cloud Native | CrewAI | Distributed Systems | Docker | GitOps | Graph Databases | Kubernetes | Langgraph | Language Models | Large Language Models | Memory systems | Multi-Agent | Multi-agent workflows | OpenAI Agents | OpenAI Agents SDK | Orchestration | Planning | Prompt engineering | Python | Retrieval-Augmented Generation | Semantic Kernel | Tool-Calling | Vector Databases
Education
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