Generative Ai AWSAzure

Is seeking an experienced Generative AI Engineer specializing in AWS and Azure cloud this role you will design build and deploy enterprise-grade GenAI models LLM pipelines and AI-driven applications to solve complex business challenges.

- Design develop and deploy Generative AI solutions using AWS Bedrock Azure OpenAI Service SageMaker and enterprise LLM frameworks.

- Build and optimize Retrieval-Augmented Generation (RAG) pipelines prompt engineering workflows and vector databases (Pinecone ChromaDB PGVector).

- Fine-tune foundational AI models for enterprise domain-specific use cases.

- Integrate cloud-native GenAI APIs and microservices with frontend and backend application frameworks.

- Establish robust monitoring evaluations and CI/CD automation pipelines for AI model deployment and performance tracking.

- 3 years of core software/cloud engineering experience with 1.5 years of hands-on expertise in Generative AI.

- Strong proficiency in Python PyTorch/TensorFlow and AI frameworks like LangChain or LlamaIndex.

- Deep expertise in AWS (AWS Bedrock SageMaker Lambda) or Azure (Azure OpenAI Service Cognitive Search AI Studio).

- Practical experience building RAG architectures and managing Vector Databases.

- Familiarity with RESTful APIs containerization (Docker Kubernetes) and modern MLOps practices.

- Competitive compensation structure.

- Flexible remote / hybrid working options.

- Opportunity to work on cutting-edge enterprise GenAI and Cloud architecture projects.

- Fast-paced career growth environment with ongoing learning opportunities.

We review applications on a rolling basis. Qualified candidates will be contacted by soon.