Principal AI Engineer, AI Agent Development
Tasks
- Apply LLM integrated agent innovations
- Architect multi-agent systems
- Build continuous learning pipelines
- Collaborate on agent KPIs
- Define AI roadmap
- Develop and deploy intelligent agent systems
- Drive experimentation and simulations
- Ensure scalability security and regulatory compliance
- Lead autonomous AI agent design
- Manage agent lifecycle
- Mentor AI scientists and engineers
Perks/Benefits
- Company events
- Education subsidy
- Healthcare schemes
- Learning and development programs
- Meal allowances
- Team building programs
- Wellness allowances
Skills/Tech-stack
Agent planning | Agent systems | Artificial Intelligence | Autonomous Agents | Context engineering | Continuous Learning | Goal Oriented Agents | Goal-oriented | Knowledge representation | LLM Applications | Language Models | Large Language Models | Machine Learning | Memory Management | Multi-Agent | Multi-Agent Systems | Reasoning | Regulatory Compliance | Reinforcement Learning | Security Compliance | Simulation | Tool use
Education
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer | Principal | Principal AI Engineer
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