Forward Deployed AI Engineer
Tasks
- Apply prompt engineering
- Assess hallucination risk and compliance alignment
- Build retrieval pipelines
- Communicate technical tradeoffs to stakeholders
- Design evaluation frameworks
- Design prototype and build generative AI applications
- Develop document analysis solutions
- Embed with business teams
- Ensure security and data privacy compliance
- Gather feedback and refine AI workflows
- Identify reusable AI components
- Implement knowledge retrieval and workflow automation
- Implement model governance and auditability
- Integrate agentic workflows
- Support user adoption
- Translate business requirements to AI solutions
Perks/Benefits
- N/A
Skills/Tech-stack
API Integration | Access Control | Agentic Workflows | Authentication | Authorization | Claude | Cloud Platforms | Compliance | Context Management | Data Privacy | Dataset design | Document Intelligence | Embeddings | Evaluation Frameworks | Knowledge Retrieval | LLM orchestration | MCP | Model Governance | Model Monitoring | OpenAI | Prompt engineering | Python | Retrieval-Augmented Generation | Security | Semantic Context | Semantic Context Management | Semantic Search | Test Dataset | Test Dataset Design | Vector Databases | Workflow automation
Education
Bachelor of Arts | Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
Regions
Countries
States
Cities
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