Forward Deployed AI Engineer, Enterprise
Tasks
- Architect custom AI solutions
- Build ETL pipelines
- Build data connectors
- Collaborate with ML Engineers and Developers
- Conduct prompt experimentation
- Create prompt engineering strategies
- Debug data pipeline issues
- Debug model output issues
- Deliver technical training
- Deploy AI models in production
- Design human-in-the-loop workflows
- Develop AI agents
- Document technical architectures
- Fine-tune models
- Implement RAG systems
- Implement evaluation frameworks
- Integrate AI into customer workflows
- Maintain prompt libraries
- Orchestrate multi-agent systems
- Prototype customer solutions
- Provide technical leadership for enterprise accounts
- Run A/B testing
Perks/Benefits
- Commuter stipend
- Health, dental, vision coverage
- Learning and development stipend
- Paid time off
- Retirement benefits
Skills/Tech-stack
A/B | A/B Testing | AWS | Agent systems | Azure | B testing | Bicep | CI/CD | Data Pipelines | Docker | ETL | Embeddings | Fine Tuning | GCP | GDPR | HIPAA | Huggingface | Infrastructure as Code | Kubernetes | Langchain | Llamaindex | Multi-Agent | Multi-Agent Systems | OpenAI | Prompt engineering | Python | RAG | Retrieval-Augmented Generation | SOC 2 | Semantic Search | Terraform | Vector Databases | “as-code”
Education
N/A
Regions
Countries
States
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