AWS Data & AI Engineer for GenAI Pipelines

Devopsroles; Atlanta (GA); Hybride; USD 120 000 - 190 000; Plein temps

Résumé du poste

Devopsroles seeks a Data & AI Engineer to design and deploy modern data pipelines and GenAI solutions on AWS. You will work on scalable ETL/ELT workflows, cloud data platforms, and production-grade AI systems for real client engagements.

You will implement pipelines with Glue, Lambda, and Redshift, and build GenAI apps with Bedrock and Claude-like models, delivering secure, scalable, production-ready solutions.

Qualifications

• 5+ years of software engineering with focus on AI/ML, data engineering, or cloud-native development.
• 2+ years hands-on AWS experience with production deployments.
• 1+ years of direct Generative AI experience (LLMs, embeddings, RAG, agents).
• Proven track record delivering production AI applications from concept to deployment.
• Experience with agile/scrum in distributed teams.

Responsabilités

• Designing and deploying scalable data pipelines on AWS (Glue, Lambda, Step Functions, EMR).
• Building data extraction, transformation, and loading processes.
• Configuring and tuning AWS data services (RDS, Aurora, Redshift, DynamoDB).
• Creating data lakes using S3 and related services.
• Developing GenAI applications using Bedrock and foundation models.
• Building RAG pipelines with vector databases.
• Creating AI agents and multi-agent orchestration with LangChain or similar.
• Writing and testing SQL queries and stored procedures.
• Documenting solutions and transferring knowledge to customers.
• Contributing to data governance and security controls.

Connaissances

Software engineering ex

AI/ML focus

Cloud-native development

Agile/scrum

Client-facing communication

Problem solving

Independent worker

Outils

AWS Glue

AWS Lambda

AWS Step Functions

AWS EMR

Amazon Redshift

Amazon RDS

Amazon Aurora

DynamoDB

S3

Bedrock/Claude-like models

Description du poste

Devopsroles seeks a Data & AI Engineer to design and deploy modern data pipelines and GenAI solutions on AWS. You will work on scalable ETL/ELT workflows, cloud data platforms, and production-grade AI systems for real client engagements.

You will implement pipelines with Glue, Lambda, and Redshift, and build GenAI apps with Bedrock and Claude-like models, delivering secure, scalable, production-ready solutions.