Gen AI Developer

Role & responsibilities

Job Title:

Location:

Job Type:

Experience Level:

Department:

Role Overview:

Generative AI Developer

Key Responsibilities:

• Design, develop, and deploy Generative AI applications using

  Amazon Bedrock

  and foundation models.
• Build RESTful APIs and backend services using

  Python Flask

  .
• Implement serverless functions and workflows using

  AWS Lambda

  .
• Architect and manage scalable cloud solutions using

  AWS Cloud Architecture best practices

  .
• Containerize applications and manage deployments using

  AWS EKS (Elastic Kubernetes Service)

  .
• Collaborate with cross-functional teams including data science, DevOps, and product.
• Integrate and fine-tune foundation models for business-specific use cases.
• Ensure system security, scalability, and performance in production environments.
• Participate in code reviews, agile ceremonies, and continuous integration efforts.

Required Skills & Qualifications:

• 3+ years of professional experience in

  Python

  development.
• Hands-on experience with

  AWS

  , including

  Lambda

  ,

  EKS

  , and

  Bedrock

  .
• Strong experience with

  Generative AI

  , including prompt engineering and model integration.
• Proficiency in

  Flask

  for API development.
• Deep understanding of

  AWS Cloud Architecture

  and security best practices.
• Familiarity with containerization tools (Docker) and orchestration using Kubernetes/EKS.
• Experience working in agile environments with modern DevOps tools and practices.
• Strong problem-solving skills and ability to work independently.

Preferred Qualifications:

• Experience with other AWS AI/ML services (e.g., SageMaker, Comprehend).
• Exposure to CI/CD tools (e.g., CodePipeline, Jenkins, GitHub Actions).
• Knowledge of infrastructure-as-code (e.g., Terraform, CloudFormation).
• AWS Certification (e.g., AWS Certified Developer, Solutions Architect) is a plus.

What We Offer:

• Competitive salary and benefits
• Opportunities to work on cutting-edge AI/ML projects
• A collaborative and inclusive team culture
• Flexible work hours and remote options
• Career growth and learning opportunities