Job Description

Location: Bangalore/Hyderabad/Chennai

Exp:4-8Yrs

Notice Period: Only Immediate

Primary skills: Gen AI, LLM, RAG, AWS, Python

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, 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