AI Engineer
Tasks
- Build evaluation frameworks for agents
- Build multi-agent architectures
- Deploy agents to managed platforms
- Design AI agents and workflows
- Develop reusable agent patterns
- Enforce security and governance policies
- Implement error handling and fallback mechanisms
- Implement rag pipelines
- Integrate agents with internal data and APIs
- Maintain audit trails and explainability
- Monitor agent behavior in production
Perks/Benefits
- Bi weekly massages
- Catered lunch
- Company events
- Company gym
- Conference opportunities
- Global office rotations
- Nutritionist support
Skills/Tech-stack
API Development | AWS | Agent systems | Anthropic | Autogen | Azure | Azure OpenAI | CI/CD | CrewAI | Docker | Error Handling | Evaluation Frameworks | GCP | Google Cloud | Google Cloud Vertex | Google Cloud Vertex AI | Kubernetes | Langchain | Langgraph | Language Models | Large Language Models | Microservices | Observability | Prompt Guardrails | Prompt engineering | Python | Retrieval-Augmented Generation | Tool orchestration | Vector Databases | Vertex AI
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
Regions
Countries
States
Cities
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