AI Platform Engineer
Philadelphia, PA, US, 19103
USD 119K-225K (estimate) Mid-level Full Time
Tasks
- Add AI guardrails and safety controls
- Bridge business users and engineering teams
- Build MCP Model Context Protocol servers
- Build backend services
- Build vector search
- Collaborate on AI architecture
- Conduct technical design reviews
- Continuously adopt new tools and best practices
- Debug application data and AI issues
- Design, develop, and maintain data pipelines
- Enable auditability and traceability
- Enforce policy and compliance requirements
- Evaluate model performance
- Gather functional and technical requirements
- Generate structured outputs
- Implement AI observability
- Implement agentic AI workflows
- Implement evaluation and quality measurement
- Implement retrieval-augmented generation pipelines
- Improve reliability performance and maintainability
- Integrate LLMs
- Perform data quality analysis
- Perform prompt engineering
- Translate use cases into engineering requirements
Perks/Benefits
- 401k retirement plan
- Dental insurance
- Disability coverage
- Medical insurance
- Paid time off
- Parental leave
- Vision insurance
Skills/Tech-stack
Agentic Workflows | Auditability | Backend Development | Compliance | Data Modeling | Data Pipelines | Evaluation | Guardrails | Java | LLM integration | Model Evaluation | Observability | Orchestration | Policy enforcement | Prompt engineering | Python | Retrieval-Augmented Generation | SQL | Safety controls | Traceability | Vector Search
Education
Roles
AI | AI Platform Engineer | Engineer | Platform Engineer | Software Engineer
Regions
Countries
States
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