Senior AI/ML Engineer — Generative AI on AWS Bedrock

Realign Llc

Malvern (Chester County)

Vor Ort

USD 120.000 - 190.000

Vollzeit

vor 13 Stunden
Sei unter den ersten Bewerbenden
Bewerbungsgenerator

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Zusammenfassung

Realign Llc in Malvern, PA seeks an AI/ML Engineer to design, develop, and deploy Generative AI solutions on AWS Bedrock/SageMaker. You will implement RAG pipelines, LLM-based apps, AI agents, and robust MLOps workflows. Strong Python, PySpark, SQL skills and cloud-native architectures are required. You will collaborate with data engineering and cloud teams to deliver secure, scalable AI solutions.

Join a hands-on team delivering production-ready AI with governance and cost optimization in mind.

Qualifikationen

  • Experience designing, developing, and deploying Generative AI on AWS Bedrock and SageMaker.
  • Proficient in Python, PySpark, SQL.
  • Experience with MLOps, CI/CD pipelines, and cloud-native architecture.

Aufgaben

  • Design, develop, and deploy AI/ML and Generative AI solutions on AWS Bedrock, SageMaker, Lambda, and S3.
  • Build and optimize RAG pipelines, LLM-based applications, AI agents, and model inference workflows.
  • 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.

Kenntnisse

Machine Learning
Deep Learning
NLP
Generative AI
LLMs
Prompt Engineering
RAG
AI Agents
LangChain
LangGraph
LlamaIndex
Python

Tools

Docker
Kubernetes
Terraform
CI/CD Pipelines
FastAPI
Model Deployment & Monitoring
Bedrock
SageMaker
PySpark
SQL
REST APIs

Jobbeschreibung

Realign Llc in Malvern, PA seeks an AI/ML Engineer to design, develop, and deploy Generative AI solutions on AWS Bedrock/SageMaker. You will implement RAG pipelines, LLM-based apps, AI agents, and robust MLOps workflows. Strong Python, PySpark, SQL skills and cloud-native architectures are required. You will collaborate with data engineering and cloud teams to deliver secure, scalable AI solutions.

Join a hands-on team delivering production-ready AI with governance and cost optimization in mind.

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