AI Engineer
Tasks
- Build and maintain RAG pipelines
- Build backend services and APIs
- Create human-in-the-loop interfaces
- Design and build LLM-powered agents
- Design simulation driven workflows
- Develop agent orchestration patterns
- Develop frontend experiences with React
- Ensure production reliability performance observability
- Implement security testability and compliance
- Use infrastructure as code and CI CD
Perks/Benefits
Skills/Tech-stack
AWS | Agent Orchestration | CI/CD | Django | Docker | Embeddings | Evaluation | Event Driven | Event-driven architecture | FastAPI | GCP | GraphQL | Guardrails | Infrastructure as Code | LLM | Memory systems | Monitoring | Node.js | Observability | Python | RAG | REST | React | SQL | Security | Simulation | State machines | Synthetic data | Testing | Tool use | TypeScript | Vector Search | “as-code”
Education
N/A
Roles
Regions
Countries
States
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