AI Engineer
Tasks
- Apply CI/CD practices
- Build React frontend experiences
- Build agent orchestration patterns
- Build backend services
- Build event-driven data pipelines
- Create human-in-the-loop interfaces
- Design LLM-powered agents
- Develop FastAPI services
- Develop GraphQL APIs
- Develop REST APIs
- Develop structured prompting and retrieval strategies
- Ensure production reliability performance observability
- Implement AI review and override workflows
- Implement rag pipelines
- Implement security testing and compliance
- Monitor AI systems and failure modes
- Use infrastructure as code
- Use simulation to validate logic
Perks/Benefits
- Diversity and inclusion focus
- Hybrid work options
- Inclusive workplace
- Sustainability-focused organization
Skills/Tech-stack
AWS | Agent Orchestration | CI/CD | Django | Docker | Embeddings | FastAPI | GCP | GraphQL | Human-in-the-loop | Infrastructure as Code | LLM | Monitoring | Node.js | Observability | Python | RAG | REST | React | SQL | Security | Simulation | Structured prompting | Testing | The Loop | TypeScript | Vector Search | “as-code”
Education
N/A
Roles
Regions
Countries
States
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