Generative AI Engineer

Location: Prakāshamnagar

Role Overview :
We are looking for a highly skilled and innovative  Generative AI Developer  to join our engineering team. This role involves building scalable, cloud-native applications leveraging  Generative AI  technologies,  AWS services  (including  Bedrock ,  Lambda ,  EKS ), and developing APIs using  Python Flask . The ideal candidate will have a deep understanding of cloud architecture and hands-on experience deploying AI-driven services  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, Dev Ops, 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:

4-5 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 Dev Ops tools and practices.
Strong problem-solving skills and ability to work independently.

Preferred Qualifications:

Experience with other AWS AI/ML services (e.g., Sage Maker, Comprehend).
Exposure to CI/CD tools (e.g., Code Pipeline, Jenkins, Git Hub Actions).
Knowledge of infrastructure-as-code (e.g., Terraform, Cloud Formation).
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