AI ML Engineer-5

Realign Llc; Malvern (Chester County); On-site; USD 120,000 - 190,000; Full time

Job summary

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.

Qualifications

• 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.

Responsibilities

• 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.

Skills

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

Job description

Job Description

Must Have Technical/Functional Skills

• Machine Learning, Deep Learning, NLP
• Generative AI, LLMs, Prompt Engineering
• RAG (Retrieval Augmented Generation), AI Agents
• LangChain, LangGraph, LlamaIndex
• 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.

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.

Required Skills

Job Type: Full Time

Job Category: IT

Job Description

Job Title: AI ML Engineer
Location: Malvern, PA (Onsite)
Fulltime

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
• LangChain, 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 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.

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.