Description

Design, build, and deploy enterprise-scale AI and LLM solutions on AWS.

This role is on-site.

Responsibilities

• Architect and implement end-to-end AI/ML platforms using modern frameworks and cloud-native technologies.
• Provision and manage secure, scalable AI infrastructure on AWS using Terraform and Infrastructure as Code.
• Build and optimize multi-agent systems and orchestration frameworks leveraging AWS Agent Core, Amazon Bedrock Agents, and Knowledge Bases.
• Develop data, model, and inference pipelines integrating LLMs, vector databases, and enterprise applications.
• Implement Retrieval-Augmented Generation (RAG) solutions and establish LLMOps best practices for scalable deployments.

Required Skills

• 5+ years of experience designing and deploying AI/ML and Generative AI solutions.
• Strong expertise in AI Engineering and software development.
• Proficiency in AWS services, specifically Agent Core and Bedrock.
• Hands-on experience with Terraform for Infrastructure as Code.
• Knowledge of MLOps and LLMOps principles.
• Experience with LLMs and prompt engineering strategies.
• Bachelor's degree in a relevant technical field.

Preferred Skills

• Experience mentoring engineering teams and establishing technical best practices.
• Proven track record of delivering production-grade AI applications from proof of concept to deployment.

Key Skills

Education

Bachelor's degree