Generative AI Engineer

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 at scale.

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, 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:

- 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 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