Senior Applied AI Engineer
Tasks
- Build and ship internal AI tools end to end
- Create shared components templates and infrastructure
- Design and deploy LLM and agent systems
- Drive projects from idea to production independently
- Implement retrieval tool use orchestration and evaluation
- Instrument usage and quality
- Mentor teammates and improve engineering practices
- Optimize models for cost latency and reliability
- Partner with engineering hardware and operations teams
- Set technical direction and reusable patterns
Perks/Benefits
Skills/Tech-stack
APIs | Agent Design | CI/CD | Code review | Cost Optimization | Docker | Documentation | Embeddings | Evaluation | Fine Tuning | Kubernetes | LLMOps | Language Models | Large Language Models | Latency optimization | MCP | MLOps | Model Serving | Monitoring | Orchestration | Prompt engineering | PyTorch | Python | React | Reliability Engineering | Retrieval | Retrieval-Augmented Generation | Testing | Tool-Calling | TypeScript | Vector Databases
Education
N/A
Regions
Countries
States
Cities
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