Generative Ai - AWS/Azure

Is seeking an experienced Generative AI Engineer specializing in AWS and Azure cloud environments. In 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 modern 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 environment with ongoing learning opportunities.

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