Generative AI & ML Engineer: AWS Bedrock & SageMaker

Acestack; Malvern (Chester County); On-site; USD 140,000 - 210,000; Full time

Job summary

Acestack in Malvern, PA is seeking an experienced AI ML Engineer to design, develop, and deploy Generative AI and ML solutions on AWS Bedrock and SageMaker. You will build scalable data pipelines, implement MLOps practices, and collaborate with cloud and data teams to deliver production-ready AI applications.

The role focuses on RAG pipelines, LLM-based apps, AI agents, and monitoring, with emphasis on performance, governance, and cost optimization.

Qualifications

• Strong experience designing, developing, and deploying Generative AI and ML on AWS using Bedrock, SageMaker, Python, MLOps, and cloud-native architecture.
• Python, PySpark, SQL, for data processing and analytics.
• ML, Deep Learning, NLP, and AI applications with a focus on production readiness and governance.

Responsibilities

• Design, develop, and deploy AI/ML and Generative AI solutions using AWS services such as Bedrock, SageMaker, Lambda, and S3.
• Build and optimize 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 optimization.

Skills

Generative AI

NLP

LLMs

Prompt Engineering

Python

PySpark

SQL

Tools

Amazon Bedrock

AWS SageMaker

LangChain

LangGraph

LlamaIndex

Docker

Kubernetes

Terraform

MLflow

CI/CD Pipelines

REST APIs

FastAPI

S3

Lambda

IAM

RDS

CloudWatch

Job description

Acestack in Malvern, PA is seeking an experienced AI ML Engineer to design, develop, and deploy Generative AI and ML solutions on AWS Bedrock and SageMaker. You will build scalable data pipelines, implement MLOps practices, and collaborate with cloud and data teams to deliver production-ready AI applications.

The role focuses on RAG pipelines, LLM-based apps, AI agents, and monitoring, with emphasis on performance, governance, and cost optimization.