Key skills
AWSAzureCloudDockerFlaskGoogle Cloud PlatformKubernetesPythonAILLMLarge Language ModelsAgenticFastAPIGCPGoogle CloudServerlessLambdaAzure FunctionsCloud Run
About this role
Role Overview
- 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
- 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
Tech Stack
- AWS
- Azure
- Cloud
- Docker
- Flask
- Google Cloud Platform
- Kubernetes
- Python
Benefits
- Equal Opportunity Employer
- Global culture that embraces diversity
- Environment free of unfair discrimination and harassment