AI/ML Engineer AWS LLM Systems
Overview
You will own the design and delivery of AI/ML and LLM-based systems for a high-traffic enterprise platform. You will join a collaborative team of engineers and data scientists in Charlotte, NC, working on mission-critical features. This contract role offers the chance to shape production AI infrastructure from day one. You will build with Python, FastAPI, AWS, and React to drive real business impact.
What You'll Do8
- 1Design and implement AI/ML pipelines using Python, FastAPI, and Pydantic to process and serve models at scale.
- 2Build and maintain LLM integrations, including prompt engineering, RAG, embeddings, and vector search.
- 3Develop serverless applications on AWS using Lambda, ECS/Fargate, DynamoDB, and S3.
- 4Implement robust model orchestration, token management, and confidence scoring in AI workflows.
- 5Serve and secure APIs with AWS services like IAM, CloudWatch, and EventBridge.
- 6Ship frontend features with TypeScript, React, and Node.js to visualize AI outputs.
- 7Automate deployment and infrastructure using GitLab CI/CD, Docker, and Terraform.
- 8Monitor system health and performance with Dynatrace and other observability tools.
Requirements9
- 110+ years of software engineering experience with a focus on backend systems.
- 24+ years building AI/ML or LLM-based systems in production.
- 3Strong proficiency in Python, FastAPI, Pydantic, and boto3.
- 4Strong proficiency in TypeScript, React, and Node.js.
- 5Hands-on experience with LLM APIs, prompt engineering, RAG, embeddings, and vector search.
- 6Experience with AI pipelines, model orchestration, token management, and confidence scoring.
- 7Strong AWS skills: ECS/Fargate, Lambda, DynamoDB, S3, IAM, CloudWatch, EventBridge.
- 8Experience with GitLab CI/CD, Docker, and Terraform.
- 9Experience with observability and APM tools such as Dynatrace.
Salary Insight
$55 - $60k per year
Location
Required Skills
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