AWS AI API Infrastructure Optimization

via Freelancer ·

Budget / Salary$250–750
TypeFreelance project
LocationRemote
Posted1 hour ago
# AWS AI API Manager Wanted

We’re looking for an experienced **AWS AI / API specialist** to help us manage and optimize the AI services and API infrastructure within our existing AWS environment.

The project is already running, so the focus is on **reviewing the current setup, improving reliability and performance, managing integrations, and making the AI infrastructure easier to maintain and scale**.

### Main Areas of Work

- Review and manage the existing AWS AI/API infrastructure
- Configure and maintain AI-related AWS services
- Review API integrations and existing endpoints
- Improve API reliability, response times, and scalability
- Monitor API usage, errors, logs, and system performance
- Review authentication, permissions, and IAM configuration
- Manage API keys, credentials, and access securely
- Optimize AWS resources and API-related costs
- Troubleshoot API and AI service issues
- Review application-to-AWS integrations
- Improve monitoring, logging, and alerting
- Identify unnecessary or inefficient services and configurations
- Help prepare the infrastructure for increased API and AI workloads
- Document important configurations and recommended improvements

### What We’re Looking For

We need someone with practical experience in **AWS, APIs, AI integrations, cloud infrastructure, and backend systems**.

Experience with services such as **Amazon Bedrock, API Gateway, Lambda, IAM, CloudWatch, S3, and related AWS services** is highly relevant.

We’re looking for someone who can work independently, understand an existing environment quickly, and recommend practical improvements rather than simply following predefined instructions.

### Project Objective

The goal is to create an AWS AI/API environment that is **secure, reliable, scalable, cost-efficient, and easy to manage**.

We want someone who can take ownership of the technical side, monitor the infrastructure, resolve issues when they arise, and continuously improve the way our AI services and APIs operate.
cloud computing amazon web services backend development aws lambda microsoft azure api development azure openai ai integration
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