Architect – Agentic AI Engineering
Tasks
- Apply software architecture principles and design patterns
- Architect backend services in Python
- Build multi step tool using AI agents
- Design agentic AI workflows
- Design and deploy solutions on AWS and Azure
- Design documented APIs
- Develop prompt engineering strategy
- Ensure security cost efficiency and scalability
- Evaluate and integrate LLM capabilities
- Implement testing observability error handling and versioning
- Make and document architectural decisions
- Optimize latency and throughput
- Refactor AI prototypes into production systems
- Remediate technical debt and scalability bottlenecks
- Set technical standards and provide architectural guidance
- Test and iterate LLM prompts
Perks/Benefits
- N/A
Skills/Tech-stack
API Design | AWS | Async/Await | Azure | Claude Code | Cloud deployment | Design Patterns | FastAPI | Langgraph | Language Models | Large Language Models | Prompt engineering | Python | System design
Education
N/A
Roles
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