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Tech Stack
Tools & technologiesAWSAzureCloudDockerFlaskGoogle Cloud PlatformKubernetesPython
About the role
Key responsibilities & impact- Designing, building, and deploying cutting-edge agentic applications
- Developing autonomous agents and multi agent systems
- Creating robust tools and interfaces for agent interactions
- Architecting scalable multi-agent systems
- Developing advanced prompts for LLMs
- Deploying and maintaining AI applications on cloud platforms
- Collaborating with cross-functional teams
Requirements
What you’ll need- Proficiency in Python
- Experience with asynchronous programming and API development (FastAPI/Flask)
- Deep understanding of Large Language Models (LLMs)
- Hands-on experience with modern agent frameworks
- Strong experience with Azure / AWS / GCP ecosystems
- Expertise in deploying AI applications using containerization (Docker, Kubernetes) and serverless technologies (Azure Functions, AWS Lambda, GCP Cloud Run)
- Familiarity with pipelines for evaluating, monitoring, and managing the lifecycle of LLM-based applications
Benefits
Comp & perks- Equal Opportunity Employer
- Global culture that embraces diversity
- Environment free of unfair discrimination and harassment
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
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Hard Skills & Tools
Pythonasynchronous programmingAPI developmentFastAPIFlaskLarge Language Modelsagent frameworksAzureAWSGCP
Soft Skills
collaborationcross-functional teamwork