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Gen AI Engineer- Hyderabad / Pune, India

7-9 Years
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  • Posted 6 hours ago
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Job Description

We are seeking a highly skilled Gen AI Engineer with strong expertise in Python, cloud technologies, and Infrastructure as Code (IaC). The ideal candidate will be responsible for designing, developing, and deploying scalable Generative AI solutions integrated with enterprise-grade cloud and API platforms.

Location

Hyderabad / Pune, India (Work From Office – 5 days/week)

Shift Timing

2:00 PM – 11:00 PM IST

Experience Required

  • Total Experience: 7+ years
  • Relevant Experience: 6+ year

Key Responsibilities

  • Design and implement Generative AI solutions using modern AI/ML frameworks and services
  • Develop and maintain backend services using Python
  • Build and manage infrastructure using Terraform (IaC)
  • Develop and manage APIs using Kong API Gateway
  • Architect and deploy scalable applications on AWS Cloud
  • Work with AWS Bedrock and other AI services for building GenAI use cases
  • Implement serverless workflows using AWS Lambda and Step Functions
  • Manage cloud resources including S3, EC2, DynamoDB
  • Deploy and manage containerized applications using EKS (Kubernetes)
  • Set up CI/CD pipelines using AWS CodePipeline and CloudFormation
  • Ensure secure handling of credentials using AWS Secrets Manager
  • Collaborate with cross-functional teams and act as a Delivery SPOC
  • Maintain documentation and track tasks using tools like Git, JIRA, and Confluence

Mandatory Skills

  • Strong hands-on experience in:
  • Generative AI
  • Python programming
  • Terraform (Infrastructure as Code)
  • AWS Cloud Services
  • Kong API Gateway

Desired Skills

  • Exposure to Azure Cloud Services
  • Experience with enterprise tools such as Git, JIRA, Confluence, and ServiceNow
  • Strong understanding of cloud architecture and distributed systems

Preferred Qualifications

  • Bachelor's or Master's degree in Computer Science, Engineering, or related field
  • Experience working in enterprise or large-scale environments

Interview Process

  • Round 1: Video Interview
  • Round 2: Face-to-Face Interview

More Info

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About Company

Job ID: 147482785

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