We are seeking a highly experienced GenAI DevOps Engineer to join our energetic team in Pune. The ideal candidate will have a robust background in building, deploying, and optimizing Generative AI applications on AWS Bedrock, along with expertise in DevOps practices. You will be responsible for automating infrastructure, managing CI/CD pipelines, and ensuring high performance and reliability of AI models.

Key Responsibilities:

Design, develop, and deploy Generative AI applications leveraging AWS Bedrock and SageMaker.
Automate infrastructure provisioning and deployment processes.
Build and maintain robust CI/CD pipelines using CodePipeline and CodeBuild.
Monitor application and model performance using CloudWatch, Prometheus, and Grafana.
Optimize AI models for performance, scalability, and cost-efficiency.
Work with RAG (Retrieval-Augmented Generation) tools such as LangChain, Haystack, and LlamaIndex for building advanced AI solutions.
Collaborate with data scientists and developers to streamline model deployment and monitoring.





Required Skills:
Extensive hands-on experience with AWS Bedrock and SageMaker.
Robust expertise in CI/CD tools: CodePipeline, CodeBuild.
Proficiency with monitoring tools: CloudWatch, Prometheus, Grafana.
Experience with RAG frameworks like LangChain, Haystack, and LlamaIndex.
Solid understanding of DevOps best practices and automation.
Ability to troubleshoot and optimize AI deployment pipelines.
Excellent problem-solving and communication skills.

Preferred Skills:
Knowledge of containerization (Docker, Kubernetes).
Familiarity with scripting languages (Python, Bash).
Experience with cloud security best practices.
Understanding of machine learning lifecycle management.

Mandatory Skills:
AWS Bedrock and SageMaker expertise.
CI/CD pipeline automation.
Monitoring and performance optimization.
RAG-based application development.

📌 Genai Devops Engineer Aws Bedrock Pune (India)
🏢 Vantageiq Technologies Opc
📍 India