AI Engineer
Job Location:
Malvern, PA - USA
Yearly Salary:
USD 120000 - 140000
Posted:
11 October 2026 (9 hours ago)
Application Deadline:
8 January 2027
Vacancies:
1 Vacancy
Job Summary
Job Title: AI Engineer
Location: Malvern PA (Onsite)
Employment Type : Full Time
Salary Range: $120000 - $140000 a year
Job Description:
Must Have Technical/Functional Skills
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.
Collaborate with business data engineering and cloud teams to deliver secure production-ready AI solutions while ensuring performance governance and cost Eligible to workimization.
Generic Managerial Skills If any
Strong leadership and stakeholder management skills with experience leading cross-functional teams and driving delivery excellence.
Effective communication with business and technical stakeholders
Location: Malvern PA (Onsite)
Employment Type : Full Time
Salary Range: $120000 - $140000 a year
Job Description:
Must Have Technical/Functional Skills
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.
Collaborate with business data engineering and cloud teams to deliver secure production-ready AI solutions while ensuring performance governance and cost Eligible to workimization.
Generic Managerial Skills If any
Strong leadership and stakeholder management skills with experience leading cross-functional teams and driving delivery excellence.
Effective communication with business and technical stakeholders
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Required Experience:
IC