Agentic AI Engineer - AI Native Software Engineering
Tasks
- Build autonomous capabilities for requirements analysis and software design
- Build multi agent architectures for software lifecycle
- Collaborate with architects developers data scientists and stakeholders
- Contribute to AI innovation research and pre sales
- Coordinate agents tools data and workflows
- Create reusable accelerators and enterprise platforms
- Deploy AI enabled software solutions
- Design and develop distributed agentic systems
- Develop intelligent orchestration frameworks
- Experiment with agentic AI techniques and autonomous software development
- Implement code generation testing and quality assurance
- Implement generative AI and reasoning systems for testing and DevOps
- Integrate large language models into development workflows
Perks/Benefits
- Flexible work hours
- Hybrid work model
- Inclusive work environment
- Professional growth opportunities
- Remote work options
Skills/Tech-stack
AI Governance | AI Security | AWS | Agent Orchestration | Agent systems | Agentic Workflow | Autonomous software | Autonomous software development | Azure | Cloud Computing | Cloud Native | Cloud platform | Continuous Delivery | Continuous integration | Deployment | DevOps | Distributed Systems | Generative AI | GitHub | GitHub Copilot | Google Cloud | Google Cloud Platform | Java | Knowledge Management | Knowledge graphs | Language Models | Large Language Models | Machine Learning | Microservices | Multi-Agent | Multi-Agent Systems | Prompt engineering | Python | Quality Assurance | RAG | REST APIs | Responsible AI | Retrieval-Augmented Generation | Software development | Software testing | TypeScript | Vector Databases
Education
N/A
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