We are seeking a highly experienced GenAI DevOps Engineer to join our energetic team in Pune. The ideal candidate will have a strong 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.
- Strong 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)
🏢 Vantageiq Technologies Opc
📍 Pune