GenAI Engineer
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.