
Advanced AI Systems Architect
3 days ago
About the Role:
We're seeking a skilled Generative AI Engineer to join our team. As a key member of our data science group, you'll be responsible for designing and implementing innovative AI-powered solutions using cutting-edge technologies like LLMs, RAG pipelines, and AI search frameworks.
Key Responsibilities:
- Design and implement AI-driven workflows leveraging LLMs and RAG pipelines.
- Build and manage data ingestion pipelines using Azure Blob Storage and related services.
- Develop Agentic AI systems with triggered mechanisms and orchestration for automation.
- Apply best practices for hallucination mitigation and model performance optimization.
- Collaborate with cross-functional teams to translate business problems into AI-driven solutions.
Required Skills:
- Proven expertise in Generative AI architectures (RAG, AI search, Agentic AI).
- Hands-on experience with Azure AI ecosystem (Blob Storage, Cognitive Search, OpenAI/Azure OpenAI).
- Strong knowledge of prompt engineering and orchestration frameworks (LangChain, Semantic Kernel, etc.).
- Ability to design solutions addressing real-world AI challenges like hallucination mitigation.
- Good understanding of data structures, algorithms, and Python programming fundamentals (dict operations, multithreading, GIL).
- 4+ Years of experience.
Good to Have:
- Experience in cloud-native development (AWS, GCP, or Azure).
- Familiarity with microservices and API integration for AI solutions.
Additional Requirements:
The ideal candidate will have strong problem-solving skills, excellent communication abilities, and a passion for staying up-to-date with the latest advancements in Generative AI.
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