Senior Forward Deployed AI Engineer, Enterprise
Tasks
- Architect multi-agent systems
- Build data connectors and ETL pipelines
- Create prompt engineering strategies
- Debug issues across data pipelines and model outputs
- Deploy and configure AI models within security boundaries
- Design human-in-the-loop workflows
- Design integrations between platform and customer data environments
- Develop production AI agents
- Document architectures and integration patterns
- Implement agent evaluation frameworks
- Implement fine-tuning pipelines
- Implement retrieval-augmented generation
- Maintain prompt libraries and templates
- Partner with enterprise customers on AI integration
- Prototype solutions for new use cases
- Provide technical training and knowledge transfer
- Run prompt experimentation and A B testing
- Serve as technical point of contact for enterprise accounts
Perks/Benefits
- Commuter stipend
- Health, dental, vision insurance
- Learning and development stipend
- Paid time off
- Retirement benefits
Skills/Tech-stack
A/B | A/B Testing | AWS | Agent systems | Artificial Intelligence | Azure | B testing | Bicep | CI/CD | Data Pipelines | Data Structures | Data Structures and Algorithms | Docker | ETL | Embeddings | Fine Tuning | GCP | Huggingface | Human-in-the-loop | Infrastructure as Code | Kubernetes | LLM Prompt | LLM Prompt Engineering | Langchain | Llamaindex | Machine Learning | Multi-Agent | Multi-Agent Systems | OpenAI API | Prompt engineering | Python | Retrieval-Augmented Generation | Semantic Search | System design | Terraform | The Loop | Vector Databases | “as-code”
Education
N/A
Regions
Countries
States
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