AI Engineer
Tasks
- Analyze failure patterns and improve grounding and policy adherence
- Build document extraction pipelines
- Build evaluation datasets and test cases
- Configure observability logging and monitoring
- Create deterministic decision logic and calculations
- Design AI enabled mortgage workflows
- Develop production code and automated tests
- Develop tool calling and agentic workflows
- Enforce privacy security and audit safeguards
- Implement model and prompt versioning and rollback
- Implement retrieval-augmented generation
- Integrate AI services with APIs and data contracts
- Refactor prototypes into modular documented services
- Set up CI CD delivery workflows
- Support UAT parallel runs and defect triage
- Translate business rules into prompts and agents
Perks/Benefits
Skills/Tech-stack
API Integration | Agentic Workflows | Automated testing | Azure | Azure OpenAI | Azure OpenAI Service | CI/CD | Cost Optimization | Databricks | Document Intelligence | Evaluation | FastAPI | Git | Guardrails | Human-in-the-loop | Logging | MLflow | Model Serving | Monitoring | Observability | OpenAI Service | Privacy | Prompt engineering | Python | Red Teaming | Retrieval-Augmented Generation | SQL | Security | The Loop | Tool-Calling | Vector Search
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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