Senior AI Cloud Engineer - AWS Bedrock & Gen AI Ops

engineeringjobs.net, Inc.; United States; On-site; USD 150,000 - 190,000; Full time

Job summary

engineeringjobs.net, Inc. is seeking a highly technical Cloud Engineer to build and optimize Generative AI infrastructure, focusing on deploying AWS Bedrock agents, automating workflows with Python, and creating robust observability and billing pipelines for LLM usage.

The role emphasizes cost efficiency, advanced logging, alerting, and seamless integration between legacy systems and modern AI services, with hands-on work on monitoring and FinOps practices.

Qualifications

• Experience with AWS Bedrock and AWS Agent Core logic.
• Proficient Python for data manipulation and API integrations.
• Strong logging and monitoring with familiarity of Mulesoft logs.
• Ability to determine AWS alerting services (CloudWatch vs EventBridge vs Grafana).
• Understanding of LLMs, tokenization, and cost considerations.

Responsibilities

• Design and deploy AI agents using AWS Bedrock and related tooling.
• Build end-to-end data log pipelines and alerting using CloudWatch/SNS/Lambda.
• Analyze and monitor Mulesoft logs for connectivity between systems.
• Monitor billing for LLM usage and Bedrock services to optimize cost.
• Develop production-grade Python scripts for automation and data processing.

Skills

Python

AWS Bedrock

LLM knowledge

API integrations

Logging & monitoring

Alerting frameworks

Tools

Mulesoft

CloudWatch

EventBridge

Grafana

AWS Agent Core

Job description

engineeringjobs.net, Inc. is seeking a highly technical Cloud Engineer to build and optimize Generative AI infrastructure, focusing on deploying AWS Bedrock agents, automating workflows with Python, and creating robust observability and billing pipelines for LLM usage.

The role emphasizes cost efficiency, advanced logging, alerting, and seamless integration between legacy systems and modern AI services, with hands-on work on monitoring and FinOps practices.