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Job Closed

AWS AI Engineer

  • Source: LinkedIn
  • Pronix Inc
  • On-site
  • Hyderabad
  • Full-Time
  • Mid level

Job Description

Job Summary

We are looking for an AWS AI & Cloud Engineer with hands-on experience in AWS Cloud, Generative AI, Machine Learning, Amazon Bedrock, SageMaker, LLMs, and cloud-native application development .

The ideal candidate should be able to design, develop, and deploy scalable AI solutions on AWS and integrate AI capabilities with enterprise applications and cloud services.

Key Responsibilities

  • Design, develop, and deploy AI/ML and Generative AI solutions on AWS.
  • Build applications using Amazon Bedrock, SageMaker, and foundation models.
  • Develop LLM, RAG, AI Agent, and conversational AI solutions.
  • Build scalable and secure cloud-native applications using AWS services.
  • Develop backend services and APIs using Python, Java, or Node.js.
  • Work with AWS services including Lambda, API Gateway, S3, DynamoDB, ECS/EKS, IAM, CloudWatch, and OpenSearch.
  • Design and implement AI/ML pipelines and model deployment solutions.
  • Work with vector databases, embeddings, knowledge bases, and document processing.
  • Integrate AI solutions with enterprise applications, databases, APIs, and third-party platforms.
  • Implement CI/CD, monitoring, security, and automation for AI and cloud applications.
  • Optimize AWS infrastructure for scalability, reliability, security, and cost.
  • Collaborate with architects, data engineers, software engineers, and business teams.

Required Skills

  • Minimum 6 months of experience in AWS Cloud / AI / ML / Software Engineering.
  • Strong hands-on experience with AWS Cloud.
  • Experience with Amazon Bedrock and/or Amazon SageMaker.
  • Understanding of Generative AI, LLMs, RAG, prompt engineering, and embeddings.
  • Strong Python programming skills.
  • Experience with AWS serverless and cloud services.
  • Experience developing REST APIs and microservices.
  • Knowledge of cloud security, IAM, networking, monitoring, and deployment.
  • Basic understanding of AI/ML model deployment and MLOps.

Candidate must have at least one valid AWS Certification.

Amazon Connect and Amazon Lex experience is a nice-to-have

Skills

  • amazon-web-services
  • amazon-machine-learning
  • bedrock
  • amazon-sagemaker
  • Python
  • Java
  • NodeJS
  • aws-lambda
  • amazon-api-gateway
  • amazon-s3
  • amazon-dynamodb
  • amazon-ecs
  • amazon-eks
  • aws-iam
  • amazon-cloudwatch
  • opensearch
  • serverless
  • amazon-connect
  • amazon-lex
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