AI Engineer – L3
Tasks
- Analyze evaluation data
- Build and optimize Retrieval-Augmented Generation pipelines
- Build monitoring pipelines
- Connect AI systems with external APIs
- Debug production AI workflows
- Design multi-stage LLM workflows
- Develop backend services in Python
- Develop document intelligence pipelines
- Develop prompts and structured outputs
- Implement embeddings-based semantic search
- Implement hallucination mitigation
- Integrate AI capabilities into product experiences
- Integrate vector databases
- Support evaluation framework implementation
- Support scalable deployment of AI features
- Test AI features and iterate
Perks/Benefits
- Collaboration with experienced engineers
- Exposure to modern AI practices
- Work on production AI systems
Skills/Tech-stack
AI workflows | API Integration | Azure | Cloud Platforms | Cloud Platforms (AWS | Document processing | Evaluation and monitoring | Evaluation and monitoring tools | LLMs | Monitoring Tools | OCR | Prompt engineering | Python | Retrieval augmenting generation | Semantic Search | Vector Databases
Education
Roles
AI | AI Engineer | Engineer
Regions
Countries
States
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