Staff Forward Deployed AI Engineer, Enterprise
Tasks
- Build RAG systems
- Build data connectors and ETL pipelines
- Collaborate with data scientists and engineers
- Create prompt engineering strategies
- Debug complex technical issues
- Deploy and configure AI models for production
- Design and implement custom platform integrations
- Design human-in-the-loop workflows
- Develop production AI agents
- Document technical architectures and integration patterns
- Implement agent evaluation frameworks
- Implement model fine-tuning pipelines
- Integrate AI solutions with customer systems
- Maintain prompt libraries and templates
- Orchestrate multi-agent systems
- Prototype solutions for new use cases
- Provide technical leadership for enterprise accounts
- Provide technical training and knowledge transfer
- Run prompt A B testing
Perks/Benefits
- Commuter stipend
- Comprehensive health coverage
- Dental and vision coverage
- Generous PTO
- Learning and development stipend
- Retirement benefits
Skills/Tech-stack
A/B | A/B Testing | AWS | Agent systems | Azure | B testing | Bicep | CI/CD | Docker | ETL | Fine Tuning | GCP | GDPR | HIPAA | Huggingface | Infrastructure as Code | Kubernetes | LLM | Langchain | Llamaindex | Multi-Agent | Multi-Agent Systems | OpenAI API | Prompt engineering | Python | RAG | SOC 2 | Semantic Search | System design | Terraform | Vector Databases | “as-code”
Education
N/A
Roles
Regions
Countries
States
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