Forward Deployed AI Engineer
Tasks
- Advise on AI roadmaps
- Build AI applications
- Codify solution patterns
- Create reference architectures
- Deploy AI solutions to production
- Design scalable enterprise AI architectures
- Evaluate model performance
- Implement model monitoring and observability
- Improve AI platform with customer feedback
- Mentor engineering teams
- Partner with customers on AI use cases
- Prioritize AI use cases
- Prototype AI apps
Perks/Benefits
- Continued Career Development
- Employee resource groups
- Flexible WFH policy
- Generous PTO
- Internet reimbursement
- Paid volunteer time
- Phone reimbursement
- Wellness programs
- Work-life balance support
Skills/Tech-stack
AWS | Agentic Workflows | Apache Iceberg | Apache NiFi | Apache Spark | Azure | Cloud Architecture | Cloud platform | Compliance | Context engineering | Data Engineering | Distributed Systems | Evaluation | Fine Tuning | Generative AI | Google Cloud | Google Cloud Platform | Governance | LLMOps | Language Models | Large Language Models | Lifecycle Management | MLOps | Machine Learning | Model Lifecycle | Model Lifecycle Management | Model Serving | Monitoring | NVIDIA GPUs | Observability | Python | Retrieval-Augmented Generation | Security | Semantic Search
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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