Description
You will design and implement Agentic AI solutions leveraging modern frameworks.
Responsibilities
- Design and implement Agentic AI solutions using frameworks like AWS Bedrock and Agentcore.
- Develop scalable and modular Python applications for deploying Agentic AI systems.
- Build and manage cloud infrastructure using AWS services, including S3, Lambda, DynamoDB, ECS, and EKS.
- Automate infrastructure provisioning and configuration using Terraform.
- Collaborate with data scientists, ML engineers, and product teams to integrate AI models into domain-specific applications.
Required Skills
- 5+ years of professional experience.
- Strong proficiency in Python.
- Hands-on experience with GenAI frameworks (AWS Bedrock, LangChain, LangGraph, Prompt Engineering).
- Proficiency in AWS cloud services and cloud-native architecture.
- Skilled in Infrastructure as Code (IaC) using Terraform.
- Familiarity with CI/CD pipelines, Docker, and Kubernetes.
- Experience with MLOps practices.
- Knowledge of architectural design patterns and Service Oriented Architecture.
- Solid understanding of security best practices in cloud and AI deployments.