Senior Gen AI Engineer - AWS Bedrock, LangChain, RAG

Full Description

Job Title: Senior AI / Machine Learning Engineer (AWS) – 8–10 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 Node.js, 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 Node.js 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

8–10 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 Node.js 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, Node.js, REST APIs, DynamoDB, S3, AWS Lambda, CloudWatch, Step Functions, Artificial Intelligence, Dynatrace, API Architecture.