Senior AI Engineer
Tasks
- Build and scale agent runtime
- Build connector framework for integrations
- Design and own RAG and document understanding pipelines
- Establish evaluation and observability backbone
- Mentor engineers on production AI systems
- Operate on premise model hosting
- Own model routing and model gateway
- Partner with security privacy and compliance to bake controls
- Ship AI product features end to end
Perks/Benefits
- 401k eligibility
- Flexible work environment
- Hybrid work option
- Paid time off
- Parental leave eligibility
- Remote work option
Skills/Tech-stack
API Design | Agent Orchestration | Agent systems | Audit Logging | Authentication | Authorization | CI/CD | Code review | Containerization | Cost telemetry | Data Modeling | Data extraction | Debugging | Document Understanding | Evaluation Harness | Fine Tuning | Go | Human-in-the-loop | Infrastructure as Code | LLM | Language Models | Large Language Models | Latency optimization | LoRA | Model Hosting | Model gateway | Model routing | Monitoring | Multi-Agent | Multi-Agent Systems | Node.js | Observability | On-premise | On-premise deployment | PEFT | PII handling | Python | Quantization | RAG | Regression testing | Structured data | Structured data extraction | TGI | TensorRT-LLM | Testing | The Loop | Tool use | TypeScript | VLLM | “as-code”
Education
Roles
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