Principal AI Engineer
Tasks
- Build streaming feature pipelines
- Build tool calling agents
- Create fallback strategies
- Design AI detection layer
- Develop graph reasoning engines
- Develop production LLMs
- Experiment with retrieval-augmented generation
- Implement latency budgets
- Instill security-first mindset
- Maintain code quality
- Mentor AI engineers
- Own AI evaluation and reliability
- Perform Red Team Testing
- Run design reviews
- Train multimodal models
- Translate attacker behavior into ML and detections
Perks/Benefits
- N/A
Skills/Tech-stack
API Design | Agent Frameworks | Distributed Systems | Docker | Evaluation harnesses | Event Driven | Event-driven architecture | GRPC | Go | Graph Databases | Graph reasoning | Java | Kubernetes | Langchain | Langgraph | Language Models | Large Language Models | Microservices | Multimodal Models | Orchestration frameworks | Prompt engineering | Python | REST | Retrieval-Augmented Generation | Rust | Tool-Calling | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineer | Engineer | Principal | Principal AI Engineer
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