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.

Tasks
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.

Requirements
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 contemporary MLOps practices.

Benefits
Competitive compensation structure.
Flexible remote / hybrid working options.
Opportunity to work on cutting-edge enterprise GenAI and Cloud architecture projects.
Fast-paced career growth workplace with ongoing learning prospects.

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

📌 Generative Ai Awsazure Hyderabad
🏢 Devlats
📍 Hyderabad