Senior Gen AI Engineer AWS Bedrock, LangChain, RAG

Toronto - Canada

Monthly Salary: Not Disclosed

Experience Required: 5years

Posted on: 4 hours ago

Vacancies: 1 Vacancy

Job Summary

Job Title: Senior AI / Machine Learning Engineer (AWS) 810 Years Experience

Role Description

We are seeking a highly skilled Senior AI/Machine Learning Engineer with deep hands-on experience in LangChain AWS Bedrock RAG architectures and AWS cloud services. The ideal candidate should have strong expertise in designing and developing scalable REST APIs using along with solid experience in AWS serverless components and NoSQL databases. AWS certification is mandatory for this role.

Key Responsibilities

Design and develop AI/ML-driven solutions leveraging:

LangChain

AWS Bedrock

RAG (Retrieval-Augmented Generation) architectures

Build scalable and efficient data and model pipelines using:

AWS S3

DynamoDB

Lambda

SNS

CloudWatch

Step Functions

Develop deploy and maintain REST APIs using with strong architectural quality and performance.

Implement secure reliable integration patterns across AWS services and backend systems.

Oversee end-to-end solution design for API ecosystems including modeling orchestration and flow optimization.

Monitor system health performance and availability using tools such as Dynatrace (nice to have).

Collaborate with cross-functional teams to deliver AI-driven and cloud-native solutions.

Ensure all development follows AWS best practices and adheres to enterprise-grade security standards.

Essential Skills

810 years of experience in software development and cloud engineering.

Hands-on expertise with:

AI/ML frameworks

LangChain

AWS Bedrock

RAG-based pipelines

AWS S3 Lambda SNS CloudWatch DynamoDB Step Functions

Strong proficiency in for REST API development.

Ability to architect and design scalable API-driven solutions.

Experience working with cloud monitoring tools (Dynatrace preferred).

AWS Certification (mandatory).

Strong communication problem-solving and analytical skills.

Desirable Skills

Experience implementing advanced AI workflows and multi-agent solutions.

Exposure to cloud cost optimization and performance tuning.

Familiarity with additional cloud-native AI services or vector database technologies.

Keywords

AWS Bedrock LangChain RAG Machine Learning REST APIs DynamoDB S3 AWS Lambda CloudWatch Step Functions Artificial Intelligence Dynatrace API Architecture.

Job Title: Senior AI / Machine Learning Engineer (AWS) 810 Years ExperienceRole DescriptionWe are seeking a highly skilled Senior AI/Machine Learning Engineer with deep hands-on experience in LangChain AWS Bedrock RAG architectures and AWS cloud services. The ideal candidate should have strong expe...

Job Title: Senior AI / Machine Learning Engineer (AWS) 810 Years Experience

Role Description

Key Responsibilities

Design and develop AI/ML-driven solutions leveraging:

LangChain

AWS Bedrock

RAG (Retrieval-Augmented Generation) architectures

Build scalable and efficient data and model pipelines using:

AWS S3

DynamoDB

Lambda

SNS

CloudWatch

Step Functions

Develop deploy and maintain REST APIs using with strong architectural quality and performance.

Implement secure reliable integration patterns across AWS services and backend systems.

Oversee end-to-end solution design for API ecosystems including modeling orchestration and flow optimization.

Monitor system health performance and availability using tools such as Dynatrace (nice to have).

Collaborate with cross-functional teams to deliver AI-driven and cloud-native solutions.

Ensure all development follows AWS best practices and adheres to enterprise-grade security standards.

Essential Skills

810 years of experience in software development and cloud engineering.

Hands-on expertise with:

AI/ML frameworks

LangChain

AWS Bedrock

RAG-based pipelines

AWS S3 Lambda SNS CloudWatch DynamoDB Step Functions

Strong proficiency in for REST API development.

Ability to architect and design scalable API-driven solutions.

Experience working with cloud monitoring tools (Dynatrace preferred).

AWS Certification (mandatory).

Strong communication problem-solving and analytical skills.

Desirable Skills

Experience implementing advanced AI workflows and multi-agent solutions.

Exposure to cloud cost optimization and performance tuning.

Familiarity with additional cloud-native AI services or vector database technologies.

Keywords

AWS Bedrock LangChain RAG Machine Learning REST APIs DynamoDB S3 AWS Lambda CloudWatch Step Functions Artificial Intelligence Dynatrace API Architecture.