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.
- 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.