About this role
We are seeking a talented and experienced Generative AI Engineer to lead the development and deployment of cutting-edge AI solutions. This role will focus on building scalable applications using Generative AI technologies, integrated within our cloud infrastructure, and aligned with strategic business needs.
Key Responsibilities:
Independently develop GenAI-based applications tailored to product requirements.Implement scalable and high-performance AI solutions.Integrate AI applications with existing internal systems.Lead and collaborate with cross-functional teams to drive AI strategy and execution. Required Qualifications:
Proven experience in Machine Learning, Generative AI, or related fields.Strong leadership and communication skills.Advanced knowledge of integrating Generative AI into cloud infrastructures.Ability to design and implement AI strategies at scale.Programming & AI Frameworks:
Proficiency in Python and relevant ML libraries.Experience with LangChain, Semantic Kernel, Hugging Face Transformers.Familiarity with Apache Lucene/Solr/LuceneSearch.Generative AI & LLMs:
Experience building applications with LLMs on Microsoft Azure (GPT-4o, o3).Use of Azure OpenAI models (GPT-3.5 Turbo, GPT-4).Experience with Azure AI Services (genai-ltst, gpt-4o-mini-realtime-preview).OCR and Embedding tools (Azure Document Intelligence, text-embedding-s-small/b-large).Cloud & DevOps:
Strong experience with Microsoft Azure Cloud platform.CI/CD pipeline development using GitHub Actions.Containerization using Docker; Azure Container Registry is a plus.Infrastructure as Code using Terraform.Experience with Azure Key Vault and GitHub Actions Secrets.
Hands-on experience with Azure Cognitive Search and Semantic Kernel.Experience deploying and maintaining scalable AI pipelines.Strong understanding of feedback loops and evaluation metrics in AI systems.