AI Engineer

BridgeFlair LLC; Malvern (Chester County); On-site; USD 120,000 - 180,000; Full time

Job summary

BridgeFlair LLC is hiring an AI Engineer to design and deploy AI/ML solutions in AWS, develop scalable data pipelines with PySpark, and build robust production APIs for model inference. The role emphasizes collaboration with data teams and business stakeholders to deliver reliable, governed AI services.

You will work with structured and unstructured data, implement ML lifecycle practices, and leverage tools like Claude Code to accelerate delivery while ensuring security and governance in

Qualifications

• Experience designing and deploying AI/ML solutions on AWS architectures.
• Strong Python and PySpark proficiency for data pipelines and model development.
• Hands-on experience with ML lifecycle, MLOps, and model deployment best practices.
• Experience building scalable data pipelines and inference APIs for production
• Familiarity with NoSQL databases and data governance is a plus.

Responsibilities

• Design, develop, and deploy AI/ML solutions on AWS.
• Build scalable ML data pipelines using AWS Glue, Lambda, S3, Redshift, and Spark.
• Develop data preprocessing and feature engineering pipelines with Python and PySpark.
• Train, evaluate, and deploy ML models using standard frameworks.
• Integrate AI/ML models into enterprise apps and data platforms.
• Design scalable orchestration workflows with AWS Step Functions and Terraform.
• Develop APIs and services for model inference and deployment.
• Work with structured and unstructured datasets including NoSQL databases.
• Optimize model performance and inference latency.
• Build CI/CD pipelines for ML workflows and automate deployments.
• Collaborate with Data Engineers, Data Scientists, PMs, and stakeholders.
• Monitor model performance, retrain models, and ensure reliability.
• Implement security, governance, and compliance for AI solutions.
• Utilize Claude Code or equivalent to accelerate development and improve code quality.
• Create technical docs and mentor junior engineers on AI best practices.

Skills

AWS S3

AWS Glue

AWS Lambda

AWS SQS

AWS SNS

AWS EventBridge

AWS IAM

AWS Redshift

Python

PySpark

Apache Spark

ML libraries (TensorFlow, PyTorch, Sca

AWS Step Functions

Terraform

NoSQL Databases

Cloud Architecture on AWS

CI/CD

GitHub Actions

Claude Code

Tools

Claude Code

Terraform

Job description

AI Engineer - Roles & Responsibilities

Locations - Malvern, Pennsylvania, and Charlotte NC United States

Responsibilities

• Design, develop, and deploy AI and Machine Learning solutions on AWS.
• Build scalable ML data pipelines using AWS Glue, Lambda, S3, Redshift, and Apache Spark.
• Develop data preprocessing and feature engineering pipelines using Python and PySpark.
• Build, train, evaluate, and deploy machine learning models using industry-standard ML frameworks.
• Integrate AI/ML models into enterprise applications and data platforms.
• Design scalable orchestration workflows using AWS Step Functions and Terraform.
• Develop APIs and services for AI model inference and deployment.
• Work with structured and unstructured datasets, including NoSQL databases.
• Optimize model performance, scalability, and inference latency.
• Build CI/CD pipelines for machine learning workflows and automate model deployment.
• Collaborate with Data Engineers, Data Scientists, Product Managers, and business stakeholders.
• Monitor model performance, retrain models, and ensure production reliability.
• Implement security, governance, and compliance for AI solutions.
• Utilize AI-assisted development tools such as Claude Code or equivalent to accelerate development and improve code quality.
• Create technical documentation and mentor junior engineers on AI best practices.

Required Skills

• AWS S3, Glue, Lambda, SQS, SNS, EventBridge, IAM
• AWS Redshift
• Python
• PySpark
• Apache Spark
• Machine Learning libraries (TensorFlow, PyTorch, Scikit-learn, etc.)
• AWS Step Functions
• Terraform
• NoSQL Databases (MongoDB, DynamoDB, Cassandra, etc.)
• Cloud Architecture on AWS
• CI/CDGitHub Actions
• Claude Code or equivalent AI coding tools
• Strong understanding of ML lifecycle, feature engineering, model deployment, and MLOps

These responsibilities closely align with the technical stack and expectations shown in the image and are suitable for senior Data Engineer and AI Engineer positions.