AI Developer
Tasks
- Add monitoring logging metrics tracing
- Build AI first workflows
- Create architecture and prompt agent documentation
- Create evaluation datasets and measure quality cost latency
- Design security privacy and compliance aware AI solutions
- Develop RAG workflows with vector search
- Implement CI CD pipelines for production readiness
- Integrate AI models using LLM APIs and SDKs
- Iterate experiments using repeatable testing dashboards
- Package AI solutions into reusable services
- Perform data access and API system discovery
- Prototype AI agents and automations
Perks/Benefits
- 401k
- Dental insurance
- Disability insurance
- Life insurance
- Medical insurance
- Paid time off
- Remote work
- Vision insurance
Skills/Tech-stack
Agent Frameworks | Azure | CI/CD | Experiment tracking | GitHub Actions | Graph | JavaScript | LLM APIs | LLMOps | Logging | MLOps | Metrics | Model versioning | Observability | Prompt engineering | Prompt versioning | Python | RAG | REST APIs | Retrieval-Augmented Generation | SQL | Secure Coding | Tracing | Vector Search | Workflow Orchestration
Education
Bachelor of Arts | Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Developer | Developer | Engineer | Software Engineer
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