Master AI Developer
Tasks
- Apply context engineering
- Apply prompt engineering
- Automate complex workflows with AI agents
- Build & unit testing
- Build CI/CD pipelines
- Build end to end testing
- Build integration testing
- Build scalable backend components
- Build scalable frontend components
- Collaborate in Agile iterative delivery
- Deploy and scale applications on cloud
- Design develop deploy monitor AI agents
- Design multi-agent architectures
- Develop LLM-based applications
- Implement RAG solutions
- Implement automated testing strategy
- Lead end-to-end feature development
- Monitor AI enabled applications
- Research and evaluate AI tools and frameworks
- Translate business requirements into technical architecture
- Use containerization for deployment
Perks/Benefits
- Childcare assistance
- Continuous learning
- Dental insurance
- Employee discounts
- Extended parental leave
- Food allowance
- Gym membership discounts
- Health insurance
- Language learning
- Life insurance
- Meal allowance
- Paternity leave
- Professional development
Skills/Tech-stack
AWS | Agent systems | Autogen | Automated testing | Azure | CI/CD | Context engineering | CrewAI | Docker | End to End | End-to-End Testing | GCP | GitHub Actions | GitLab CI | Go | Integration Testing | Kubernetes | Langchain | Language Models | Large Language Models | Multi-Agent | Multi-Agent Systems | MySQL | Next.js | Node.js | PostgreSQL | Prompt engineering | Python | RAG | React | Unit Testing
Education
N/A
Roles
AI | AI Engineer | Developer | Engineer | Full Stack | Full Stack Developer | Stack Developer
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