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AI Engineer
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Posted on: Oct 28, 2026
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Malvern, Alabama
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Onsite
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Full-time
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Job Title :
AI Engineer
Job Type :
Full-Time
Job Location :
Malvern Alabama United States
Remote :
No
Job Description :
Job Description
Job Description
Role: AI Engineer
Location: Malvern, PA
Job Type: Fulltime
Salary: $135K benfits
Job Description:
Strong experience in designing, developing, and deploying Generative AI and Machine Learning solutions on AWS using Bedrock, SageMaker, Python, MLOps, and cloud-native architecture
Python, PySpark, SQL
Machine Learning, Deep Learning, NLP
Generative AI, LLMs, Prompt Engineering
Amazon Bedrock, AWS SageMaker
RAG (Retrieval Augmented Generation), AI Agents
LanEligible to workhain, LangGraph, LlamaIndex
AWS Services: S3, Lambda, IAM, RDS, CloudWatch
MLOps, MLflow, CI/CD Pipelines
Docker, Kubernetes, Terraform
REST APIs, FastAPI, Model Deployment & Monitoring
Roles & Responsibilities
Design, develop, and deploy AI/ML and Generative AI solutions using AWS services such as Bedrock, SageMaker, Lambda, and S3.
Build and Eligible to workimize RAG pipelines, LLM-based applications, AI agents, and model inference workflows to solve business problems.
Develop scalable data pipelines and MLOps frameworks for model training, deployment, monitoring, and continuous improvement.
Location: Malvern, PA
Job Type: Fulltime
Salary: $135K benfits
Job Description:
Strong experience in designing, developing, and deploying Generative AI and Machine Learning solutions on AWS using Bedrock, SageMaker, Python, MLOps, and cloud-native architecture
Python, PySpark, SQL
Machine Learning, Deep Learning, NLP
Generative AI, LLMs, Prompt Engineering
Amazon Bedrock, AWS SageMaker
RAG (Retrieval Augmented Generation), AI Agents
LanEligible to workhain, LangGraph, LlamaIndex
AWS Services: S3, Lambda, IAM, RDS, CloudWatch
MLOps, MLflow, CI/CD Pipelines
Docker, Kubernetes, Terraform
REST APIs, FastAPI, Model Deployment & Monitoring
Roles & Responsibilities
Design, develop, and deploy AI/ML and Generative AI solutions using AWS services such as Bedrock, SageMaker, Lambda, and S3.
Build and Eligible to workimize RAG pipelines, LLM-based applications, AI agents, and model inference workflows to solve business problems.
Develop scalable data pipelines and MLOps frameworks for model training, deployment, monitoring, and continuous improvement.
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Position Details
Posted:
Oct 28, 2026
Reference Number:
0b2192cd
Employment:
Full-time
City:
Malvern
Job Origin:
ziprecruiter
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