AI Engineer [gn] (Agentic AI & Automation)
Tasks
- Add safety mechanisms execution guardrails and governance controls
- Automate code reviews and software engineering tasks
- Build AI powered development tools for code generation and refactoring
- Design autonomous multi agent AI systems for engineering workflows
- Generate and run integration and end to end tests
- Implement agent memory and state management for long running processes
- Implement agentic workflows for monitoring incident detection and root cause analysis
- Improve test coverage based on application changes
- Integrate AI agents with APIs databases repositories and enterprise tools
- Maintain agent systems for reliable enterprise operations
- Prototype automation for repetitive engineering activities to improve productivity
- Recommend remediation actions for incidents
Perks/Benefits
- Flexible working arrangements
- Hybrid work
- Inclusive workplace
- International team collaboration
- Professional development
- Remote work
Skills/Tech-stack
API Integration | Agent systems | Autogen | Autonomous Workflow | Autonomous Workflow Orchestration | CrewAI | Database Integration | End to End | End-to-End Testing | Function Calling | Go | Integration Testing | Java | Langgraph | Multi-Agent | Multi-Agent Systems | Plan and Solve | Prompt engineering | Python | React | Repository Integration | Safety engineering | Scalability | Security | State management | Workflow Orchestration
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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